Bike sharing demand. Refer to the bike sharing demand in the metropolitan city of Seoul, Exercise 11.24 (p. 660). We used the data in the file to fit a straight-line model relating the rented bike count (y) to the percentage of humidity (x).

a. Estimate s2 , the variance of the random error term in the model.

b. Estimate s, the standard deviation of the random error term in the model.

c. Which of the estimates, part a or

b, can be interpreted practically? Why?

d. Make a statement about how accurate the model is in predicting the rented bike count in the metropolitan city of Seoul.