X 1, X 2, X 3 – Independent (explanatory) variables.The mathematical representation of multiple linear regression is: Y = a + b X 1 + c X 2 + d X 3 + ϵ Multiple linear regression analysis is essentially similar to the simple linear model, with the exception that multiple independent variables are used in the model. Regression Analysis – Multiple Linear Regression The simple linear model is expressed using the following equation: Y = a + bX + ϵĬheck out the following video to learn more about simple linear regression: Simple linear regression is a model that assesses the relationship between a dependent variable and an independent variable. Regression Analysis – Simple Linear Regression The residual (error) values follow the normal distribution.The value of the residual (error) is not correlated across all observations.The value of the residual (error) is constant across all observations. The value of the residual (error) is zero.The independent variable is not random.
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