Regression analysis of performance and reputation
| Model summaryb | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model | R | R square | Adj. R square | Std. error of estimate | Change statistics | Durbin–Watson | ||||
| R sq. change | F change | df1 | df2 | Sig. F change | ||||||
| 1 | 0.868a | 0.754 | 0.749 | 0.47615 | 0.754 | 161.531 | 10 | 527 | 0.000 | 2.102 |
| Model summaryb | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Model | Adj. | Std. error of estimate | Change statistics | Durbin–Watson | ||||||
| df1 | df2 | Sig. | ||||||||
| 1 | 0.868a | 0.754 | 0.749 | 0.47615 | 0.754 | 161.531 | 10 | 527 | 0.000 | 2.102 |
| Coefficients | Unstand. Coeff | Standardized coefficients | Collinearity statistics | ||||
|---|---|---|---|---|---|---|---|
| Model 1 | B | Std. error | Beta | t | Sig | Tolerance | VIF |
| (Constant) | 7.96 | 0.242 | 32.834 | 0.00 | |||
| 0.225 | 0.039 | 0.23 | 5.818 | 0.00 | 0.3 | 3.337 |
| 0.319 | 0.039 | 0.324 | 8.194 | 0.00 | 0.298 | 3.35 |
| 0.114 | 0.044 | 0.115 | 2.571 | 0.01 | 0.235 | 4.252 |
| 0.021 | 0.05 | 0.021 | 0.427 | 0.669 | 0.197 | 5.064 |
| 0.24 | 0.053 | 0.23 | 4.546 | 0.00 | 0.183 | 5.478 |
| 0.031 | 0.035 | 0.029 | 0.891 | 0.373 | 0.442 | 2.263 |
| 0.353 | 0.104 | 0.124 | 3.387 | 0.001 | 0.348 | 2.875 |
| 1.66 | 0.581 | 0.107 | 2.86 | 0.004 | 0.333 | 3.007 |
| 0.011 | 0.01 | 0.031 | 1.104 | 0.27 | 0.595 | 1.681 |
| 0.038 | 0.023 | 0.038 | 1.668 | 0.096 | 0.881 | 1.135 |
| Coefficients | Unstand. Coeff | Standardized coefficients | Collinearity statistics | ||||
|---|---|---|---|---|---|---|---|
| Model 1 | Std. error | Beta | Sig | Tolerance | VIF | ||
| (Constant) | 7.96 | 0.242 | 32.834 | 0.00 | |||
| 0.225 | 0.039 | 0.23 | 5.818 | 0.00 | 0.3 | 3.337 | |
| 0.319 | 0.039 | 0.324 | 8.194 | 0.00 | 0.298 | 3.35 | |
| 0.114 | 0.044 | 0.115 | 2.571 | 0.01 | 0.235 | 4.252 | |
| 0.021 | 0.05 | 0.021 | 0.427 | 0.669 | 0.197 | 5.064 | |
| 0.24 | 0.053 | 0.23 | 4.546 | 0.00 | 0.183 | 5.478 | |
| 0.031 | 0.035 | 0.029 | 0.891 | 0.373 | 0.442 | 2.263 | |
Surplus % Chg | 0.353 | 0.104 | 0.124 | 3.387 | 0.001 | 0.348 | 2.875 |
Spending % Chg | 1.66 | 0.581 | 0.107 | 2.86 | 0.004 | 0.333 | 3.007 |
Soc.med Neg | 0.011 | 0.01 | 0.031 | 1.104 | 0.27 | 0.595 | 1.681 |
Reports | 0.038 | 0.023 | 0.038 | 1.668 | 0.096 | 0.881 | 1.135 |
Note(s): aPredictors: (Constant), Reports, f1 Ethical, Surplus % Chg, Soc.med Neg, f6 Reach, f2 Modern, Spending % Chg, f4 Esteemed, f3 Effective, f5 Known
bDependent variable: School grade. Regression method “Enter”, i.e. all variables are added to the model
Dependent variable: school grade
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