Respuesta :
Answer:
Option d is right.
Step-by-step explanation:
Whenever there are more than one independent variable and there is one dependent variable we run multiple regression.
The equation would have the form
[tex]y=\beta_0 +\beta_1 x_1 +\beta_2 x_2+...+\beta_n x_n[/tex]
The first one is a constant which is y intercept
The other betas are called slopes.
When in multiple linear regression, we test all the slopes with F test with null hypothesis
that all slope coefficients are zero.
Alternate would be
at least one of the slope coefficients is not zero.
So option d is right
The F test for the overall significance of the regression tests the null hypothesis that all slope coefficients are zero.
What is the F-test?
The F- test is a statistical measure used to determine if the variance of two sample or population are equal. When the hypothesis test is carried out, if the results of the f test is statistically significant, the null hypothesis is rejected. If the F test is not  statistically significant, the null hypothesis cannot be rejected.
To learn more about the null hypothesis, please check: https://brainly.com/question/4454077
