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Predictions from the least-squares regression line

Fill in the blank: For these data, temperature values that are greater than the mean of the temperature values tend to be paired with values for electricity use that are ____ (greater than or less than) the mean of the values for electricity use.

According to the regression equation, for an increase of one degree Fahrenheit in temperature, there is a corresponding increase of how many thousands of kilowatt hours in electricity use? ___

From the regression equation, what is the predicted electricity use (in thousands of kilowatthours)when the temperature is 98.5 degrees Fahrenheit?(Round your answer to at least one decimal place.)___

From the regression equation, what is the predicted electricity use (in thousands of kilowatt hours)when the temperature is 83.8 degrees Fahrenheit? (round your answer to at least one decimal place.)

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The solution provides step by step method for the calculation of regression model . Formula for the calculation and Interpretations of the results are also included.

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