If you have more than one quadratic predictor in your model, you can test them all at the same time using the partial F-test. True False

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24-11-2022
Mathematics

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If you have more than one quadratic predictor in your model, you can test them all at the same time using the partial F-test. True False

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HafsaM HafsaM · Answer 1 · 2022-11-29T11:33:37+01:00

If you have more than one quadratic predictor in your model, you can test them all at the same time using the partial F-test. This statement is True.

What is partial F-test?

A partial F-test is used to determine whether or not there is a statistically significant difference between a regression model and some nested version of the same model.

A nested model is simply one that contains a subset of the predictor variables in the overall regression model.

Partial F-test is a statistical analysis used in multivariate linear regression to determine independent variables are to be considered when fitting a multivariate linear regression mode.

This is necessary because if too many variables are considered, then the model would be too complex. On the other hand, if too few variables are used, then we may get a very weak fit.

Hence if you have more than one quadratic predictor in your model, you can test them all at the same time using the partial F-test.

The given statement is true.

To know more about partial F-test here

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