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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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)
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?
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?
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?
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?
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?
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?
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?
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?
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?
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?
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)
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)
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)