The linear regression model is used for explaining the relationship between a single dependent variable known as *Y* and one or more *X's *independent variables known as input, predictor, or independent variables. The following two equations explain a linear regression scenario:

Equation 1 shows the formulation of a simple linear regression equation and equation 2 shows the multiple linear equations where many independent variables can be included. The dependent variable must be a continuous variable and the independent variables can be continuous and categorical. We are going to explain the multiple linear regression analysis by ...

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