Table 9: Analysis of variance.
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
48.595 |
1 |
48.595 |
1.92 |
0.16 |
|
Residual |
2575.36 |
102 |
25.248 |
|
|
|
|
Total |
2623.96 |
103 |
|
|
|
|
|
2 |
Regression |
279.96 |
1 |
279.96 |
12.18 |
0.0007 |
|
Residual |
2343.99 |
102 |
22.980 |
|
|
|
|
Total |
2623.96 |
103 |
|
|
|
|
|
3 |
Regression |
281.653 |
2 |
140.82 |
6.07 |
0.0032 |
|
Residual |
2342.30 |
101 |
23.19 |
|
|
|
|
Total |
2623.96 |
103 |
|
|
|
|
a. Predictors: (Constant), Structure, Process; b. Dependent Variable: Outcome