2456 Predictions From Equations

1) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 32?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

2) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 56?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

3) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 59?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

4) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 65?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

5) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 72? (nearest whole number)

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

6) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 64?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

7) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 62?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

8) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 74? (nearest whole number)

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

9) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 69?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

10) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 76? (nearest whole number)

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

11) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 45?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

12) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 43?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

13) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 33?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

14) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 41?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

15) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 58?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

16) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 35?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

17) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 38?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

18) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 45?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

19) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 25?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

20) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 27?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

21) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 78? (nearest whole number)

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

22) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 60sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

23) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 33sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

24) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 41sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

25) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 58sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

26) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 35sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

27) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 38sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

28) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 45sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

29) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 25sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

30) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 27sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

31) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 43?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

32) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 72?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

33) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 69?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

34) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 65?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

35) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 62?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

36) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 64?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

37) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 59?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

38) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 58?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

39) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 56?

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Explanation

You are given the equation for the line, which gives you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you - but in these questions, there are no existing values given (unless you look up data set 2), and therefore you would just use zero for the 'raw value' question on the App.

Submit

40) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 168cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

41) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 76 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

42) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 72in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

43) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 65 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

44) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 69 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

45) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 62 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

46) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 51 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

47) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 56 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

48) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 59 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

49) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 45 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

50) The data set above (Data Set 6) shows time taken to run 100 metres before and after a four week fitness training programme to the nearest second (sec). There were 14 people tested.For the person running 32sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (format 12sec)

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

51) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 161cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

52) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 172cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

53) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 173cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

54) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 178cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

55) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 181cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

56) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the players who are 186cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

57) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 187cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

58) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 191cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

59) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 78 in the History presentation, what is the predicted score for the written exam?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

60) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 165cm tall?

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Explanation

Find the equation for the line for the linear regression for the data set. This will give you the value for 'a' and 'b', which can then be used in the App bivarequ2predict. If you have an existing value, it will also find out the residual for you.

Submit

2456 Predictions From Equations

1) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 32?

2)

What first name or nickname would you like us to use?

2) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 56?

3) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 59?

4) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 65?

5) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 72? (nearest whole number)

6) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 64?

7) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 62?

8) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 74? (nearest whole number)

9) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 69?

10) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 76? (nearest whole number)

11) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 45?

12) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 43?

13) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 33?

14) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 41?

15) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 58?

16) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 35?

17) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 38?

18) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 45?

19) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 25?

20) A linear regression equation takes the general formUsing Data Set 5, I found that a = 8 and b = 0.56, to the nearest whole number, what is the predicted value for y when x = 27?

21) Y = 97.7 - 0.617 xThe linear regression equation above has been rounded to three significant figures from Data Set 3. What is the predicted value for 'y' to the nearest whole number when the independent variable (x) is 78? (nearest whole number)

31) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 43?

32) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 72?

33) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 69?

34) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 65?

35) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 62?

36) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 64?

37) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 59?

38) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 58?

39) The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 56?

40) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 168cm tall?

42) The data set above (Data Set 4) shows the grades for students completing two separate assessments in History. The x data is for a History presentation, and the y data is for a written exam.For the student attaining 72in the History presentation, what is the predicted score for the written exam?

51) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 161cm tall?

52) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 172cm tall?

53) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 173cm tall?

54) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 178cm tall?

55) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 181cm tall?

56) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the players who are 186cm tall?

57) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 187cm tall?

58) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 191cm tall?

60) The data set above (Data Set 8) shows the height (x) and weight (y) of a team of soccer players.Using the linear regression line, what is the predicted weight to the nearest kg for the player who is 165cm tall?