The overall regression F-statistic tests the null hypothesis that:. a. all slope coefficients are zero.
b. all slope coefficients and the intercept are zero.
c. the intercept in the regression and at least one, but not all, of the slope coefficients is zero.
d. the slope coefficient of the variable of interest is zero, but that the other slope coefficients are not.

A

Step-by-step explanation:

F test is a statistical method used to determine which models best fits the population from which the sample is derived. It is a ratio of two variances. Variance measure the rate of dispersion

The formula for calculating f-test = explained variance / unexplained variance

There are two hypothesis in an f test :

1. the  null hypothesis  - all slope coefficient are equal to zero

the alternative hypothesis : at least one of the slope coefficient is not equal to zero

d i think

step-by-step explanation: