For the Homeowner's Utility Data Studied in the Previous Question

For the homeowner's utility data studied in the previous question, the following regression output pertains to natural gas usage and mean temperature:
a. Report and interpret the value of the slope coefficient in context.
b. Use the least squares line to predict the gas usage per day in a month with a mean temperature of 50 degrees.
c. Determine the value of the correlation coefficient.
d. What proportion of the variability in gas usage is explained by the least squares line with mean monthly temperature?
e. Does the r² value reveal what percentage of the data values fall on the least squares line?(Answer yes or no, but you need not bother to explain.)

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