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 0.8562 R Square A Adjusted R Sq 0.6830 Standard Error B Observations 20 ANOVA df SS MS F Significance F Regression C 87,941.0612 29,313.6871 14.6455 0.0001 Residual 16 D E Total F 119,965.7492 Regression output Coefficients Std Error t Stat Intercept G 36.1172 3.8851 Temp -12.3168 H 4.5873 Insulation I 1.7248 2.3778 Age 8.5268 3.2954 J 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 be 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