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

Individual: 1, 2, 3, 4, 5

Excercise (min): 10, 18, 26, 33, 44

% Fat: 30, 25, 18, 17, 14

a) Based on the above data, if an individual exercises 20 minutes daily, his predicted % body fat would be:

-21.63
-27.74
-27.88
-23.75

b) Assuming a linear relationship holds, the least squares regression line for predicting % fat from the amount of exercise an individual gets is:

Y' = 0.476X + 33.272
Y' = 1.931X + 66.363
Y' = -0.476X + 33.272
Y' = -0.432X + 32.856

c) The value for the standard error of estimate in predicting % fat from daily exercise is:

-3.35
-4.32
-2.14
-1.66
-none of these

d) The least squares regression line for predicting the amount of exercise from % fat is:
-X' = -1.931Y + 66.363
-X' = -0.476Y + 33.272
-X' = 1.931Y + 66.363
-X' = -1.905Y + 62.325