Mathematics, 12.02.2020 03:25 dudedude4096
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
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