output coefficients[ mean squared error variance score multiple linear regression (mlrit is the extension of simple linear regression that predicts response using two or more features mathematically we can explain it as followsconsider dataset having observationsp features independent variables and as one response dependent variable the regression line for features can be calculated as followsh(xi xi xi bp xip hereh(xi coefficients is the predicted response value and bp are the regression multiple linear regression models always includes the errors in the data known as residual error which changes the calculation as followsh(xi xi xi bp xip ei we can also write the above equation as followsyi (xi ei or ei yi (xi