A family-run convenience siorcgas station in a resort own experiences a lot of variation in sales, depending whether itis during the summer vacation season or the regular year. Sales during the off-season do not vary that much, but the vacation season can be very unpredictable. The family is intrested in predicting the total daily sales from the number of customers who buy gas and various other items in the store each day during the sammer vacation season. A random sample of 20 days from the past two summer seasons is take. Some of the summary statistics about the number of customers per day and daily sales (in $1000) are given below.
mean number of customers = 721.47standard deviation of customers = 182.0
mean daily sales ($1000) = 38.778 standard deviation of daily sales ($1000) =0.743
r^2=7442
which one of the following would be closest to the predicted daily sales if there were 800 customers that day?
a. $10,820
b. $14,555
c. $16,770
d. $41,135
e. $41,545