![]() ![]() e is the residual term indicating the difference between the actual and the fitted response value.They reflect the contribution of each independent variable in predicting the dependent variable. β is the intercept indicating the Y value when all the predictors are zeros.There are p predictors in total.īoth dependent and independent variables are continuous. X p are the independent variables (predictors). Multiple linear regression has two or more predictors.Simple linear regression only has one predictor. ![]() The difference between simple linear regression and multiple linear regression: Multiple linear regression is a statistical technique to model the relationship between one dependent variable and two or more independent variables by fitting the data set into a linear equation. ![]()
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