Regression—Model Two
| Model Two | ||||
|---|---|---|---|---|
| Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |
| 2 | .485 | .235 | .205 | 4.40494 |
| 2 | .485 | .235 | .205 | 4.40494 |
| ANOVA | |||||
|---|---|---|---|---|---|
| Model 2 | Sum of Squares | df | Mean Square | F | Sig. |
| Regression | 453.283 | 3 | 151.094 | 7.787 | .000 |
| Residual | 1474.667 | 76 | 19.404 | ||
| Total | 1927.950 | 79 | |||
| Regression | 453.283 | 3 | 151.094 | 7.787 | .000 |
| Residual | 1474.667 | 76 | 19.404 | ||
| Total | 1927.950 | 79 | |||
| Coefficients | |||||
|---|---|---|---|---|---|
| Unstandardized Coefficients | Standardized Coefficients | ||||
| Model 2 | B | Std. Error | Beta | t | Sig. |
| (Constant) | 7.102 | .851 | 8.346 | .000 | |
| Treatment | 1.803 | 1.050 | .175 | 1.718 | .090 |
| Read Abil. | -.036 | .037 | -.176 | -.981 | .330 |
| Product | .149 | .045 | .590 | 3.325 | .001 |
| (Constant) | 7.102 | .851 | 8.346 | .000 | |
| Treatment | 1.803 | 1.050 | .175 | 1.718 | .090 |
| Read Abil. | -.036 | .037 | -.176 | -.981 | .330 |
| Product | .149 | .045 | .590 | 3.325 | .001 |
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