In multiple regression,to test H₀ : β₁= β₂ = ∙ ∙ ∙ ∙ ∙ ∙ = β_k= 0,a t-statistic with n - K degrees of freedom is used.

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In multiple regression, to test the hypothesis that all slope coefficients are equal to zero (i.e., $H_0 : \beta_1 = \beta_2 = \ldots = \beta_k = 0$), an F-statistic is used, not a t-statistic. The F-test considers the joint hypothesis that all coefficients (except the intercept) are zero, and it has degrees of freedom $df_1 = k$ and $df_2 = n - k - 1$, where $k$ is the number of predictors and $n$ is the sample size.

In Multiple Regression,to Test H0 : β1 = β2 =

In Multiple Regression,to Test H₀ : β₁= β₂ =