2456 Predictions From Equations
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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?
About This Quiz
Predicting values from the equation for the Linear Regression line.
Quiz Preview
- 2.
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?
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.Rate this question:
- 3.
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?
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.Rate this question:
- 4.
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?
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.Rate this question:
- 5.
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?
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.Rate this question:
- 6.
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?
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.Rate this question:
- 7.
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?
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.Rate this question:
- 8.
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?
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.Rate this question:
- 9.
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?
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.Rate this question:
- 10.
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?
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.Rate this question:
- 11.
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?
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.Rate this question:
- 12.
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)
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.Rate this question:
- 13.
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?
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.Rate this question:
- 14.
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?
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.Rate this question:
- 15.
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?
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.Rate this question:
- 16.
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?
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.Rate this question:
- 17.
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?
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.Rate this question:
- 18.
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?
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.Rate this question:
- 19.
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?
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.Rate this question:
- 20.
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?
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.Rate this question:
- 21.
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?
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.Rate this question:
- 22.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 43?
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.Rate this question:
- 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 60sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 33sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 41sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 58sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 35sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks?
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.Rate this question:
- 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 38sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 45sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 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 25sec before the training started, what time would the linear regression equation predict for the 100 metres after our weeks? (Format 12sec)
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.Rate this question:
- 31.
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)
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.Rate this question:
- 32.
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)
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.Rate this question:
- 33.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 72?
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.Rate this question:
- 34.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 69?
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.Rate this question:
- 35.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 65?
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.Rate this question:
- 36.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 62?
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.Rate this question:
- 37.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 64?
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.Rate this question:
- 38.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 59?
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.Rate this question:
- 39.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 58?
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.Rate this question:
- 40.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 56?
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.Rate this question:
- 41.
The linear regression equation above is for Data Set 2. What is the predicted value for 'y' when the independent variable (x) is 45?
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.Rate this question:
- 42.
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?
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.Rate this question:
- 43.
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?
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.Rate this question:
- 44.
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?
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.Rate this question:
- 45.
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)
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.Rate this question:
- 46.
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?
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.Rate this question:
- 47.
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?
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.Rate this question:
- 48.
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)
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.Rate this question:
- 49.
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?
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.Rate this question:
Quiz Review Timeline (Updated): Mar 21, 2023 +
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Current Version
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Mar 21, 2023Quiz Edited by
ProProfs Editorial Team -
Mar 08, 2015Quiz Created by
Anthony Nunan
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