What is the omnibus F-test associated with the regression equation containing bo

Question

What is the omnibus F-test associated with the regression equation containing both Food Intake and Exercise? Is it statistically significant at alpha 0.10? 8. anova WeightLoss FoodIntake Exercise Number of obs # Root MSE 10 R-squared.9281 1.33095 Adj R-squared #0.8381 F Prob>F 5 18.282857 10.32 0.0210 3.37 0.1355 df MS Source Partial ss Model 91.414286 FoodIntake 17.914286 3 5.9714286 Exercise 88.247619 Residual 7.0857143 2 44.12381 24.91 0.0055 4 1.7714286 test Exercise FoodIntake Source Partial sS df MS F Prob>F 18.282857 10.32 0.021 Exercise FoodIntake 91.414286 Residual7.0857143 4 1.7714286

Explanation / Answer

yes ! it is statistically significant!

A low p-value (< 0.05) indicates that you can reject the null hypothesis. In other words, a predictor that has a low p-value is likely to be a meaningful addition to your model because changes in the predictor's value are related to changes in the response variable.

Conversely, a larger (insignificant) p-value suggests that changes in the predictor are not associated with changes in the response.

thanks :)

hope it helps :)

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