# RESEARCH METHODOLOGY

## STATISTICAL TECHNIQUES AND TOOLS

### MULTIPLE REGRESSION

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
The partial F-test
 A is an omnibus test B considers the reduction in error when moving from the complete model to the reduced model C considers the reduction in error when moving from the reduced model to the complete model D can only be conceptualized as a reduction in error
Explanation:

Detailed explanation-1: -The partial F-test tests tells you whether the full model is significantly better than some nested model. In particular, the partial F-test can be used to determine whether the inclusion of extra variables provides additional explanatory power to warrant their inclusion into the regression.

Detailed explanation-2: -A full model includes all of the possible terms. A reduced model does not include all the possible terms. You might reduce a model if terms are not significant or if you need additional error degrees of freedom and you can assume that certain terms are zero.

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