| Multiple Linear Regression - Estimated Regression Equation |
| Score[t] = -13.4418 + 2.00038HomeAdv[t] + 0.0838457RushYards[t] + 0.0649386PassYards[t] + 1.17789YardsPerPass[t] + 0.692786YardsPerRush[t] + e[t] |
| Multiple Linear Regression - Ordinary Least Squares | |||||
| Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
| (Intercept) | -13.44 | 0.7346 | -1.8300e+01 | 1.669e-68 | 8.344e-69 |
| HomeAdv | +2 | 0.4153 | +4.8160e+00 | 1.59e-06 | 7.948e-07 |
| RushYards | +0.08385 | 0.004645 | +1.8050e+01 | 7.439e-67 | 3.72e-67 |
| PassYards | +0.06494 | 0.002576 | +2.5210e+01 | 1.095e-119 | 5.474e-120 |
| YardsPerPass | +1.178 | 0.09418 | +1.2510e+01 | 2.031e-34 | 1.016e-34 |
| YardsPerRush | +0.6928 | 0.2336 | +2.9660e+00 | 0.00306 | 0.00153 |
| Multiple Linear Regression - Regression Statistics | |
| Multiple R | 0.8378 |
| R-squared | 0.7019 |
| Adjusted R-squared | 0.7011 |
| F-TEST (value) | 813.8 |
| F-TEST (DF numerator) | 5 |
| F-TEST (DF denominator) | 1728 |
| p-value | 0 |
| Multiple Linear Regression - Residual Statistics | |
| Residual Standard Deviation | 8.458 |
| Sum Squared Residuals | 1.236e+05 |
