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A multiple regression analysis produced the following tables. Summary Output Regression Statistics Multiple R 0.978724022 R Square 0.957900711 Adjusted R Square 0.952287472 Standard Error 67.67055418
A multiple regression analysis produced the following tables.
| Summary Output | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Regression Statistics | ||||||||||
| Multiple R | 0.978724022 | |||||||||
| R Square | 0.957900711 | |||||||||
| Adjusted R Square | 0.952287472 | |||||||||
| Standard Error | 67.67055418 | |||||||||
| Observations | 18 | |||||||||
| ANOVA | ||||||||||
| df | SS | MS | F | Significance F | ||||||
| Regression | 2 | 1562918.941 | 781459.5 | 170.6503 | 4.80907E-11 | |||||
| Residual | 15 | 68689.55855 | 4579.304 | |||||||
| Total | 17 | 1631608.5 | ||||||||
| Coefficients | Standard Error | t Stat | P-value | |||||||
| Intercept | 1959.709718 | 306.4905312 | 6.39403 | 1.21E-05 | ||||||
| X1 | -0.469657287 | 0.264557168 | -1.77526 | 0.096144 | ||||||
| X2 | -2.163344882 | 0.278361425 | -7.77171 | 1.23E-06 |
For x1= 360 and x2 = 220, the predicted value of y is ____________.
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Theory And Applications Of Partial Functional Differential Equations
Authors: Abrar A Khan
1st Edition
9353141915, 9789353141912
