Predicting values from the equation for the Linear Regression line.

Questions and Answers

- 1.
### 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?

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:

- 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?

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?

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?

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?

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?

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?

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?

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?

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)

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?

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?

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?

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.