How do you interpret a linear regression model?

As we know that the linear regression model is of the form:

The significance of the linear regression model lies in the fact that we can easily interpret and understand the marginal changes in the independent variables(predictors) and observed their consequences on the dependent variable(response).

Therefore, a linear regression model is quite easy to interpret.

For Example, if we increase the value of x1 increases by 1 unit, keeping other variables constant, then the total increase in the value of y will be βi and the intercept term (β0) is the response when all the predictor’s terms are set to zero or not considered.