| Parameter Estimates and Type III Model ANOVA |
| The GLM Procedure |
| Dependent Variable: Loss |
| Source | DF | Type III SS | Mean Square | F Value | Pr > F |
| Fe | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Parameter | Estimate | Standard Error | t Value | Pr > |t| |
| Intercept | 129.7865993 | 1.40273671 | 92.52 | <.0001 |
| Fe | -24.0198934 | 1.27976715 | -18.77 | <.0001 |
| All Output Objects Selected |
| The GLM Procedure |
| Number of observations | 13 |
| All Output Objects Selected |
| The GLM Procedure |
| Dependent Variable: Loss |
| Source | DF | Sum of Squares | Mean Square | F Value | Pr > F |
| Model | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Error | 11 | 102.850233 | 9.350021 | ||
| Corrected Total | 12 | 3396.616923 |
| R-Square | Coeff Var | Root MSE | Loss Mean |
| 0.969720 | 2.810063 | 3.057780 | 108.8154 |
| Source | DF | Type I SS | Mean Square | F Value | Pr > F |
| Fe | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Source | DF | Type III SS | Mean Square | F Value | Pr > F |
| Fe | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Parameter | Estimate | Standard Error | t Value | Pr > |t| |
| Intercept | 129.7865993 | 1.40273671 | 92.52 | <.0001 |
| Fe | -24.0198934 | 1.27976715 | -18.77 | <.0001 |
| OverallANOVA and Fitness Statistics |
| The GLM Procedure |
| Dependent Variable: Loss |
| Source | DF | Sum of Squares | Mean Square | F Value | Pr > F |
| Model | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Error | 11 | 102.850233 | 9.350021 | ||
| Corrected Total | 12 | 3396.616923 |
| R-Square | Coeff Var | Root MSE | Loss Mean |
| 0.969720 | 2.810063 | 3.057780 | 108.8154 |
| OverallANOVA |
| Part of the Selection List Persists |
| The GLM Procedure |
| Dependent Variable: Loss |
| Source | DF | Sum of Squares | Mean Square | F Value | Pr > F |
| Model | 1 | 3293.766690 | 3293.766690 | 352.27 | <.0001 |
| Error | 11 | 102.850233 | 9.350021 | ||
| Corrected Total | 12 | 3396.616923 |
| Plot of Iron Versus Loss |
Plot of Fe*Loss. Symbol used is '*'.
2.0 + * *
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0.0 + ** *
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80 85 90 95 100 105 110 115 120 125 130
Weight Loss
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