Question: interpret Regression Statistics Multiple R 0.985141 R Square 0.970503 Adjusted R Square 0.959777 Standard Error 18.1725 Observations 16 ANOVA df SS MS F Significance F
interpret
| Regression Statistics | ||||||||
| Multiple R | 0.985141 | |||||||
| R Square | 0.970503 | |||||||
| Adjusted R Square | 0.959777 | |||||||
| Standard Error | 18.1725 | |||||||
| Observations | 16 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 4 | 119521.8 | 29880.45 | 90.48108 | 2.43043E-08 | |||
| Residual | 11 | 3632.638 | 330.2398 | |||||
| Total | 15 | 123154.4 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 90.0% | Upper 90.0% | |
| Intercept | 466.8125 | 13.62938 | 34.25047 | 1.57E-12 | 436.8144471 | 496.8106 | 442.33571 | 491.28929 |
| Qtr1 | -46.7438 | 13.20636 | -3.53949 | 0.004637 | -75.810747 | -17.6768 | -70.46085 | -23.026653 |
| Qtr2 | -21.1625 | 13.00953 | -1.62669 | 0.132082 | -49.7962835 | 7.471284 | -44.52612 | 2.2011183 |
| Qtr3 | -64.3313 | 12.88999 | -4.99079 | 0.000408 | -92.7019304 | -35.9606 | -87.48019 | -41.18231 |
| Data point | 17.41875 | 1.015874 | 17.14657 | 2.77E-09 | 15.18282715 | 19.65467 | 15.594358 | 19.243142 |
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