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A realtor is trying to predict the selling price of Houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP) using 1 = fireplace, 0 = no Fireplace. The regression output is provided below. (Some of the information has been omitted). Summary Otput regression statistics Multiple R 0.95572484 R Square 0.91340997 Adjusted R Square 0.90322291 Standard Error 4.20917369 Observations 20 ANOVA df SS MS F Significance F Regression N 3177.168709 1588.584 Residual 17 17.71713 Total 19 3478.36 Coefficient Standard t Stat P-value Lower 95% Upper 95% Error Intercept 128.94 2.62 49.20 8.93E-20 123.41 134.47 Size 1.21 11.44 2.09E-09 11.26 16.36 FP 6.48 1.98 3.27 0.004512 2.30 10.651. The approximate value of F is O A. 1605.7 O B. 0.46 O C. 89.7 O D. F cannot be calculated with the given information. 2. The SSE is approximately O A. 10 O B. 17.7 O C. 3177 O D. 301 3. The approximate coefficient for Size is O A. negative suggesting an inverse relationship with selling price. O B. 13.8 O C. 9.5 O D. 122.44.Which of the following conclusions can be made based on the F test? 0 A. The p-value on the F test is very high. 0 B. The model is O C. The model as a whole is of no use in predicting selling prices of houses. 0 D. At least one of the independent variables is useful in explaining the selling price of houses. 5. Which of the following statements are true? 0 A. Areplace adds around $6476 to the selling price of the average house without replace. 0 B. A house without replace will sell $6.47 dollar more than the average house with a replace. 0 0. About 91% of the variation in predicting selling price is explained by Size. 0 D. A large house with no replace will sell for more than a small house with a replace. 6. The variable Fireplace (FF) is O A. an interval variable 0 B. an quantative variable 0 c. a dummy variable 0 D. an dependent variable