Multiple Linear Regression is similar to simple linear regression but the major difference being that we try to establish linear relationship between one response variable and more than one predictor variables. For example suppose that a researcher is studying that how the housing prices are affected by area of the apartment and the demand supply gap in that region. The response variable is apartment price (Y) and the predictor variables are area of apartment (X1) and demand supply gap (X2).
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