The F test is used to determine whether the overall regression model is significant.

MULTIPLE REGRESSION

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

A	True
B	False
C	Either A or B
D	None of the above

Explanation:

Detailed explanation-1: -The F-Test of overall significance in regression is a test of whether or not your linear regression model provides a better fit to a dataset than a model with no predictor variables. Linear regression needs the relationship between the independent and dependent variables to be linear.

Detailed explanation-2: -The F-test is used by a researcher in order to carry out the test for the equality of the two population variances. If a researcher wants to test whether or not two independent samples have been drawn from a normal population with the same variability, then he generally employs the F-test.

Detailed explanation-3: -The F-test of overall significance is the hypothesis test for this relationship. If the overall F-test is significant, you can conclude that R-squared does not equal zero, and the correlation between the model and dependent variable is statistically significant.

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RESEARCH METHODOLOGY

STATISTICAL TECHNIQUES AND TOOLS

MULTIPLE REGRESSION