SUMMARY OUTPUT Regression Statistics Multiple R 0.93254 R Square Adjusted R Squa
ID: 1097709 • Letter: S
Question
SUMMARY OUTPUT Regression Statistics Multiple R 0.93254 R Square Adjusted R Square 0.86343 Standard Error Observations 23 ANOVA df SS MS F Significance F Regression 140.0924 9.38E-11 Residual 21 2930.605 Total 22480.87 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 4.2258 18.3377 0.23 0.819979 -33.9095 42.361 Size (Square Feet) 0.0851 0.006 9.38E-11 25 The model predicts that the price of a residential property with a size of 3,000 square feet would be ______ thousand. a $250 b $260 c $270 d $280 26 The standard error of estimate for the regression is: a 8.565 b 9.941 c 11.813 d 13.554 27 The regression sum of squares (SSR) is: a 2930.605 b 19550.27 c 22480.87 d 25411.48 28 The regression model estimates that _____% of the variation in the price of the residential properties is explained by the size of the properties. a 93% b 90% c 87% d 84% 29 The value of the test statistic to test the null hypothesis that property size does not influence the price of the property is ______. a 14.18 b 11.81 c 9.42 d 8.57 30 The margin of error to build a 95% confidence interval for the slope coefficient that relates the price response to each additional square foot is _______. a 0.052 b 0.042 c 0.032 d 0.012 SUMMARY OUTPUT Regression Statistics Multiple R 0.93254 R Square Adjusted R Square 0.86343 Standard Error Observations 23 ANOVA df SS MS F Significance F Regression 140.0924 9.38E-11 Residual 21 2930.605 Total 22480.87 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 4.2258 18.3377 0.23 0.819979 -33.9095 42.361 Size (Square Feet) 0.0851 0.006 9.38E-11 25 The model predicts that the price of a residential property with a size of 3,000 square feet would be ______ thousand. a $250 b $260 c $270 d $280 26 The standard error of estimate for the regression is: a 8.565 b 9.941 c 11.813 d 13.554 27 The regression sum of squares (SSR) is: a 2930.605 b 19550.27 c 22480.87 d 25411.48 28 The regression model estimates that _____% of the variation in the price of the residential properties is explained by the size of the properties. a 93% b 90% c 87% d 84% 29 The value of the test statistic to test the null hypothesis that property size does not influence the price of the property is ______. a 14.18 b 11.81 c 9.42 d 8.57 30 The margin of error to build a 95% confidence interval for the slope coefficient that relates the price response to each additional square foot is _______. a 0.052 b 0.042 c 0.032 d 0.012Explanation / Answer
25) The correct answer is (b)
26) The correct answer is (c)
27) The correct answer is (c)
28) The correct answer is (a)
29) The correct answer is (a)
30) The correct answer is (a)
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