1. Julie Moon is an energy analyst examining electricity, oil, and natural gas consumption in different regions over different seasons. She ran a regression explaining the variation in energy consumption as a function of temperature. The total variation of the dependent variable was 140.58, the explained variation was 60.16, and the unexplained variation was 80.42. She had 60 monthly observations.

A. Compute the coefficient of determination.

B. What was the sample correlation between energy consumption and temperature?

C. Compute the standard error of the estimate of Moon’s regression model.

D. Compute the sample standard deviation of monthly energy consumption.