I am currently stuck on the problems that are bolded. Thank you so much!

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 time to 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 -.959

And

Regression equation y = - 0.476x + 33.72

What is Peason r? -0.959

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

y = - .476x + 33.27

What percent of the variance in %body fat can we account for by knowledge of exercise time? 47.6%

What is the slope of the regression line?- .476

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

It means that as each unit changes (exercise time), body fat decreases.

What number reflects the error in prediction 2.14494