15 The sum of squares error for this regression model is a

15. The sum of squares error for this regression model is ________.

a) 12,236,421,969.1

b) 14,263,134,094.3

c) 36,709,265,906.7

d) 50,972,400,000.0

SUMMARY OUTPUT Rearession Statistics MultipleR R Square Adjusted R Square Standard Error Observations 0.8486 36,009.01 ANOVA Significance F 0.0022 MS Regression Residual Total 36,709,265,905.70 14 50,972,400,000.00 Coefficients Standard Error t Stat P- Lower 95% Upper 95% Intercept Age Living Area Bedrooms 108,597.3721 580.6870 86.8282 31,261.9127 101,922.3333 2,092.4981 27.6994 11,006.8696 value 0.3095 0.7865 0.0095 0.0161

Solution

15. The sum of squares error for this regression model is ________.

SSe = SSTotal - SSregression

b) 14,263,134,094.3