How many explanatory variables are in the model? How many observation...
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| SUMMARY OUTPUT | |||||
| Regression Statistics | |||||
| Multiple R | (3 decimals) | ||||
| R Square | (3 decimals) | ||||
| Adjusted R Square | 0.988 | ||||
| Standard Error | 4.601 | ||||
| Observations | 16 | ||||
| ANOVA | |||||
| df | SS | F (1 decimal!) | Significance F | ||
| Regression | 4 | 27185.7 | 2.63E-11 | ||
| Residual | 11 | 232.8 | |||
| Total | 15 | 27418.5 | |||
| Coefficients | Standard Error | t Stat (3 decimals!) | Accepted Hypothesis | Is the estimator significant? | |
| Intercept | -498.4535 | 35.9966 | |||
| X Variable 1 | 0.0109 | 0.0021 | |||
| X Variable 2 | 0.0099 | 0.0020 | |||
| X Variable 3 | 0.0058 | 0.0005 | |||
| X Variable 4 | 0.0192 | 0.0035 |
How many explanatory variables are in the model?
How many observations are for each variable?
Theoretical value of t Student ratio is (using the Excel function "=tinv(...)" for 5% probability level and degrees freedom of is (with 3 decimals): .
Establish the result of statistical test of the significance for each estimator knowing only this value and their t* in the table.
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