For the following purposes, we can carry out the Hypothesis testing in linear regression:

**1.** To check whether an independent variable (predictor) is significant or not for the prediction of the target variable. Two common methods for this are —

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**By the use of p-values:**

If the p-value of a particular independent variable is greater than a certain threshold (usually 0.05), then that independent variable is insignificant for the prediction of the target variable.

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**By checking the values of the regression coefficient:**

If the value of the regression coefficient corresponding to a particular independent variable is zero, then that variable is insignificant for the predictions of the dependent variable and has no linear relationship with it.

**2.** To verify whether the calculated regression coefficients i.e, with the help of linear regression algorithm, are good estimators or not of the actual coefficients.