10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 mm 37 2. Run the regression and put the regression output in the designated area of the worksheet "Data." Use the regression output to answer questions a-h below: a. Type the estimated regression function: b. What is the estimated sales price for a 1-Story, 2,200 square feet house with 3 bedrooms? c. What is the observed significance level of the estimated regression model? d. For the given sample of houses, what is the average marignal value of one square foot of house size? e. Are the independent variables all statsically significant at the 0.01 level? List any variable(s) that do not meet this criteria. f. What is the 99% confidence interval for the coefficient of square feet? g. From your regression output, state and interpret the value of the regression coefficient for "# Bdrms" 3. Generate a proper Residual Plot (residuals versus 'predicted-y') in the Data worksheet. 4. Generate a proper Normal Probability Plot in the Dat