Can someone please explain to me why you would conduct a t test if you already have the P values?? Am I missing something here? (in context of classical linear regression model)
We use T test in linear regression model to conduct the hypothesis testing on the regression coefficients of the explanatory variables.Whether the explanatory are significant or not with respect to response variables.
null hypothesis : H0: Bi=0
alternative hypothesis: Bi /= 0;
We use p Values to reject or accept the null hypothesis after performing t test.
we got the p values after performing T test. After that we make our decision about the null hypothesis by using p value and alpha concept.We reject Ho if p value < alpha ,otherwise accept Ho;
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