(a) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and pool Regression Statistics Multiple R 0.294065 R Square 0.086474 Adjusted F 0.077605 Standard E 0.463742 Observatio 105 ANOVA df SS MS F ignificance F Regression 1 2.09679 2.09679 9.749948 0.002328 Residual 103 22.15083 0.215057 Total 104 24.24762 Intercept Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1.028381 0.218189 X Variable -0.00301 0.000965 4.71326 7.66E-06 0.595655 1.461107 0.595655 1.461107 -3.12249 0.002328 -0.00493 -0.0011 -0.00493 -0.0011 SUMMARY OUTPUT price and bedroom Regression Statistics 0.467377 Multiple R R Square 0.218441 Adjusted F 0.210853 Standard E 1.334785 Observatio 105 ANOVA df SS Regression Residual Total 103 104 MS F 1 51.29003 51.29003 28.78794 183.51 1.78165 234.8 ignificance F 5E-07 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.091pper 95.0% 0.503725 0.628011 0.802096 0.424344 -0.74179 1.749237 -0.74179 1.749237 0.009398 0.020419 0.009398 0.020419 Intercept X Variable 0.014908 0.002779 5.365439 5E-07 (b) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and size Regression Statistics Multiple R 0.371042 R Square 0.137672 Adjusted F 0.1293 Standard E 232.0274 Observatio ANOVA df Regression Residual Total 105 SS MS F ignificance F 1 885295.7 885295.7 16.44409 9.76E-05 103 5545181 53836.7 104 6430476 Intercept Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1790.746 109.168 16.40358 1.72E-30 1574.237 2007.255 1574.237 2007.255 X Variable 1.95865 0.483005 4.055131 9.76E-05 1.000723 2.916577 1.000723 2.916577 SUMMARY OUTPUT price and garage Regression Statistics Multiple R 0.526274 R Square 0.276964 Adjusted F 0.269944 Standard E 0.401731 Observatio 105 ANOVA df SS MS Regression Residual Total 1 6.36754 F ignificance F 6.36754 39.45492 8.12E-09 103 16.62294 0.161388 104 22.99048 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%ipper 95.0% -0.48524 0.189013 -2.56723 0.011688 -0.8601 -0.11038 -0.8601 -0.11038 X Variable 0.005253 0.000836 6.281315 8.12E-09 0.003594 0.006911 0.003594 0.006911 Intercept

(a) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and pool Regression Statistics Multiple R 0.294065 R Square 0.086474 Adjusted F 0.077605 Standard E 0.463742 Observatio 105 ANOVA df SS MS F ignificance F Regression 1 2.09679 2.09679 9.749948 0.002328 Residual 103 22.15083 0.215057 Total 104 24.24762 Intercept Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1.028381 0.218189 X Variable -0.00301 0.000965 4.71326 7.66E-06 0.595655 1.461107 0.595655 1.461107 -3.12249 0.002328 -0.00493 -0.0011 -0.00493 -0.0011 SUMMARY OUTPUT price and bedroom Regression Statistics 0.467377 Multiple R R Square 0.218441 Adjusted F 0.210853 Standard E 1.334785 Observatio 105 ANOVA df SS Regression Residual Total 103 104 MS F 1 51.29003 51.29003 28.78794 183.51 1.78165 234.8 ignificance F 5E-07 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.091pper 95.0% 0.503725 0.628011 0.802096 0.424344 -0.74179 1.749237 -0.74179 1.749237 0.009398 0.020419 0.009398 0.020419 Intercept X Variable 0.014908 0.002779 5.365439 5E-07 (b) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and size Regression Statistics Multiple R 0.371042 R Square 0.137672 Adjusted F 0.1293 Standard E 232.0274 Observatio ANOVA df Regression Residual Total 105 SS MS F ignificance F 1 885295.7 885295.7 16.44409 9.76E-05 103 5545181 53836.7 104 6430476 Intercept Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1790.746 109.168 16.40358 1.72E-30 1574.237 2007.255 1574.237 2007.255 X Variable 1.95865 0.483005 4.055131 9.76E-05 1.000723 2.916577 1.000723 2.916577 SUMMARY OUTPUT price and garage Regression Statistics Multiple R 0.526274 R Square 0.276964 Adjusted F 0.269944 Standard E 0.401731 Observatio 105 ANOVA df SS MS Regression Residual Total 1 6.36754 F ignificance F 6.36754 39.45492 8.12E-09 103 16.62294 0.161388 104 22.99048 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%ipper 95.0% -0.48524 0.189013 -2.56723 0.011688 -0.8601 -0.11038 -0.8601 -0.11038 X Variable 0.005253 0.000836 6.281315 8.12E-09 0.003594 0.006911 0.003594 0.006911 Intercept

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

See similar textbooks