Exhibit 134 Below you are given a partial Excel output based
Exhibit 13-4
 Below you are given a partial Excel output based on a sample of 16 observations.
ANOVA
df
SS
MS
F
Regression
4,853
2,426.5
Residual
485.3
Coefficients
Standard Error
Intercept
12.924
4.425
x1
-3.682
2.630
x2
45.216
12.560
 
 Refer to Exhibit 13-4. The estimated regression equation is
E(y) = 0 + 1x1 + 2x2
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 4,853 | 2,426.5 | ||
| Residual | 485.3 | |||
| Coefficients | Standard Error | |||
| Intercept | 12.924 | 4.425 | ||
| x1 | -3.682 | 2.630 | ||
| x2 | 45.216 | 12.560 | 
Solution
The estimated regression equation is
E(y)=12.924-3.682 x1+45.216 x2
here we obtain the regreesion equation from the table of anova-> Coefficients


