SUMMARY OUTPUT Regression Statistics
Multiple R 0.971
R-Square A
Adjusted R-Square B
Standard Error 30.462
Observations 51
ANOVA
df SS MS F Significance F
Regression C 747851.57 373925.79 402.98 9.89E-31
Residual 48 D 927.91
Total 50 792391.11
Coefficients Standard Error t Stat P-Value Lower 95% Upper 95%
Intercept E 62.13 26.79 1.60E-30 1539.66 1789.51
Price of Roses -6.68 F -1.41 1.64E-01 -16.16 2.81
Disposable Income (M) 9.73 0.34 G 1.23E-31 9.04 10.42
The residual sum of squares and degrees of freedom due to the regression are:
a) 44,539.54 and 2, respectively.
b) 747,851.57, and 98, respectively.
c) 1,540,242.68 and 48, respectively.
d) There is not sufficient information to answer this question