A section (1 or more paragraphs) summarizing the findings of the 4 simple regression models from step 6. Which models (if any) show that the independent variable in the model is a significant predictor of price of the home? Which models (if any) show that the independent variable in the model is not a significant predictor of price of the home? Which model is the best fitting? Which model is the poorest fitting?

SUMMARY OUTPUT Regression Statistics Multiple R 0.712315005 R Square 0.507392666 Adjusted R Square 0.506894076 Standard Error 46820.34332 Observations 990 ANOVA df MS F Significance F Regression 1 2.23085E+12 2.23085E+12 1017.654266 4.43E-154 Residual 988 2.16584E+12 2192144549 Total 989 4.39668E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 11940.89275 4931.110438 2.421542348 0.015634003 2264.239601 21617.54589 2264.239601 21617.54589 Living Area (Square Feet) 86.19964665 2.70212451 31.90069382 4.4339E-154 80.89708408 91.50220922 80.89708408 91.50220922SUMMARY OUTPUT Regression Statistics Multiple R 0.408897614 R Square 0.167197259 Adjusted R Square 0.166354341 Standard Error 60877.27866 Observations 990 ANOVA df SS MS F Significance F Regression 1 7.35114E+11 7.35114E+11 198.3553654 3.4554E-41 Residual 988 3.66157E+12 3706043058 Total 989 4.39668E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 43550.83191 8623.963649 5.049978605 5.260158-07 26627.44194 60474.22189 26627.44194 60474.22189 Number of Bedrooms 37690.23204 2676.12771 14.08386898 3.4554E-41 32438.68475 42941.77932 32438.68475 42941.77932SUMMARY OUTPUT Regression Statistics Multiple R 0.604545891 R Square 0.365475734 Adjusted R Square 0.364833503 Standard Error 53138.37572 Observations 990 ANOVA df SS MS F Significance F Regression 1 1.60688E+12 1.60688E+12 569.0720504 1.0757E-99 Residual 988 2.7898E+12 2823686974 Total 989 4.39668E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 36917.21909 5505.22539 6.705850619 3.36368E-11 26113.94116 47720.49703 26113.94116 47720.49703 Number of Bathrooms 66209.84917 2775.485549 23.85523109 1.0757E-99 60763.32525 71656.37309 60763.32525 71656.37309SUMMARY OUTPUT Regression Statistics Multiple R 0.288666418 R Square 0.083328301 Adjusted R Square 0.082400496 Standard Error 63869.1401 Observations 990 ANOVA df MS F Significance F Regression 1 3.66368E+11 3.66368E+11 89.81226486 1.87493E-20 Residual 988 4.03032E+12 4079267057 Total 989 4.39668E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 178666.0626 2691.71813 66.37621546 0 173383.9212 183948.204 173383.9212 183948.204 Age (Years) -613.0612854 64.68983855 -9.476933305 1.87493E-20 -740.0065521 -486.1160187 -740.0065521 -486.1160187