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York Realty sells homes in York Region. One of the questions most frequently asked by prospective buyers is how much can we expect to pay to heat it during the 5 winter months? Three variables are thought to relate to heating costs: the mean daily outside temperature, insulation (in centimeters) in the attic and the age of the furnace. York Realty selected a random sample of 20 homes that were sold in the last month (which was considered to be a typical winter month). From Excel we obtained the following output: SUMMARY OUTPUT Regression Statistics Multiple R 0.8457 R Square A Adj R Square 0.6618 Standard Error B Observations 20 ANOVA df SS MS F Significance F Regression C 82,941.0612 27,647.0204 13.3946 0.0001 Residual 16 D E Total F 115,965.7492 Regression output Coefficients Std Error t Stat Intercept G 36.1172 4.7157 Temp -14.3168 H -5.3321 Insulation 1.7248 -2.9576 Age 10.5268 3.2954 1. For the regression model, write out the population regression equation. 2. Determine the values of A - J. 3. What would be the approximate heating cost in the winter for a house with an 8-year-old furnace, 10 cm of insulation when the average monthly temperature is -5C? 4. Using a 99% confidence level, test to determine if there is a relationship between insulation and heating costs. Show your work