Hello,
t-value: t-value is calculated as the,
t=b/ standard error;
the sign of the t is depending upon the sign of the regression coefficients.
t-values and corresponding p-value is used to check the significance of the independent variables contribution to predict the dependent variable.
if p-value < alpha, then we reject the null hypothesis and conclude that the beta value is not zero.
The hypothesis to check the significance of the regression coefficient as,
H0:
H1:
from the t-test we will check the same and the decision rule as,
if p-value < alpha, then we reject the null hypothesis and conclude that the beta value is not zero.
Thanks
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