Problem 2

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.

Individual

1

2

3

4

5

Exercise (min)

10

18

26

33

44

% Fat

30

25

18

17

14

Compute a pearson r and then construct a least squares regression equation using Exercise timeto predict %fat.

Compute a scatter plot (simple scatter) and paste the output below

Compute a pearson r and then construct a least squares regression equation using Exercise time to predict %body fat.

Peason r

And

Regression equation

What is Peason r

What is the least squares regression equation for using Exercise time to predict %body fat.

.

What percent of the variance in %body fat can we account for by knowledge of exercise time?

What is the slope of the regression line?

What is the 95%confidence interval for the regression slope?

When testing the null hypothesis for the regression coefficient that H₀: b=0, what is the t ration used?

What does the slope in the regression line above mean

What number reflects the error in prediction