A power company would like to predict the monthly heating bill for a household in a specific county during the month of

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A Power Company Would Like To Predict The Monthly Heating Bill For A Household In A Specific County During The Month Of 1 (33.68 KiB) Viewed 38 times

A power company would like to predict the monthly heating bill for a household in a specific county during the month of January. A random sample of households in the county was selected and their January heating bill recorded along with the variables shown below Use the regresion output shown to the right to complete parts a and b SF: the square footage of the house Age, the age of the current heating system in years Temp the thermostat setting in degrees Fahrenheit, during the day Coefficients Intercept - 646.4206 SF 0.0823 Age 20942 Temp 10.3919 arre a. Interpret the meaning of all three regression coefficients Select the correct choice below and, if necessary, in the answer towers within your choice (Type integers or decimals Type exact answers) OA Each additional square foot increases the monthly hosting bill by $ Each additional year increases the most heating bill by $ Each additional degree increases the monthly heating bill by $ OB. Each additional square foot decreases the monthly heating bill by $ Each additional year decreases the monthly heating bill by Each additional degree decreases the monthly heating bill by $ OC. There is no meaningful interpretation of the regression coefficients for this application,