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Please show all work need help with ALL parts part of one question

Assignment 3 [Read-Onlyl Word View ? Tell me Share File Home Insert Design Layout References Mailings Review Outline Draft New WindowE Arrange All Switch Macros Properties Windows Web Side Show Zoom 100% Read ode Layout Layout Learning Tools to Side Split Macros SharePoint Views Immersive Page Movement Part (b) (2 points) Interpret the estimated value of the intercopt, i.e,explain what the number means in this regression Part (c) (2 points) If the size increases by 1,000 square feet, what is the average estimated impact on a houses price? Part (d)(2 points) Interpret the estimated value of the coeficient on the Number of bathrooms variable, i.e. explain what the number means in this regression. Part (c) Interpret the estimated value of the coefficient on the Pool dummy variable, i.e, explain what the number means in this regression. (2 points) Part ( (2 points) Are there any coefficient estimates that are statistically significant? If so, name one and explain how you can tell that it is statistically significant Part (g) (2 points) Are there any coefficient estimates that are not statistically significant? If so, name one and explain how you can tell that it is not statistically significant. Part (h)3 points) What is the predicted price for a house that has 2.000 square feet, four bedrooms and dwo baths and has neither a garage nor a pool? Part (0) (3 points) What is the predicted price for a bouse that has 3,000 square feet, three bedrooms and two baths, and has a garage, but no pool? Continued on p. 3 Part ()(2 points) What percentage of the variation in the dependent variable can be explained by variation in the independent variables? Part (k)(2 points) What percentage of the variation in the dependent variable canmot be explained by variation in the independent variables? де 3 of 3 594 words O Type here to search
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.71129 0.505933 0.47255 33249.7 80 ANOVA MS nificance F Regression Residual Total 5 83774963233 1.68E+10 15.15544 3.11E-10 74 81810168767 1.11E+09 79 1.65585E+11 Coefficients Standard Error tstat P-value Lower95%Upper 95%ower 95.0%pper 95.0% 111612 40898.9362 2.728971 0.007933 30119.1 193104.9 30119.1 193104.9 15.89609 16.09007304 0987944 0.3264 -16.1641 47.95626 -16.1641 47.95626 Intercept X Variable-Size XVariable-#of bedrooms x variable-# of baths 33977 0.001825 3693.94 15551.74 3693.94 15551.74 12236.6 10817.26085 1.131211 0.261619 9317.26 33790.47 9317.26 33790.47 X Variable - Garage dummy 32239.05 8450.828857 3.814898 0.00028 15400.41 49077.7 15400.41 49077.7 9622.841 2975.543977 3.2 x Variable-Pool duummy -33223.59 8020.001487 -4.14259 9,02E-05 49203.8 172434 49203.8 17243.4
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