SUMMARY OUTPUT Regression Statistics Multiple R 0.91 R Square 0.85 Adjusted R Square 0.83 Standard Error 20,949.15 Observations 301.00 ANOVA df SS MS F "Significance F Regression 4.00 667,427,645,418.08 166,856,911,354.52 380.20 0.00 Residual 296.00 129,904,621,849.66 438,866,965.71 Total 300.00 797,332,267,267.74 Coefficients Standard Error Stat P-value Intercept 28,988.78 6,408.55 4.52 0.00 SF 90.83 2.38 38.22 0.00 PY 14.254.45 2,445.07 5.83 0.00 N2 6,051.24 2.935.80 2.06 0.04 N3 12,600.61 2,923.76 4.31 0.00 SF = square feet of the house PY: 0 = no pool, 1 = pool BY: 0 = not made of bricks, 1 made of bricks There are three neighborhoods N1, N2 and N3 y = house price The model explains how much of the variation in price 2 decimal places The test statistic for the marginal test of N2 is 2 decimal places A/ Based on the marginal test of N2 (given an alpha=. 1) you should A. Fail to Reject Ho B. Conclude N2 is significant in the equation C. Conclude N2 is not significantly related to price D. Conclude the true coefficient for N2 could be zero Single capital letter The equation shows a price difference between N1 and N3 of? 2 decimal places A What is the estimated price of a house that is SF = 2,500 PY: yes BY: Yes Is in N2 Each additional square foot raises the price by 2 decimal places A