Multiple Linear Regression Analysis with Categorical Predictors is done using Indicator Variables. We have to clearly analyze all possible models and select the best fitting model.
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We use indicator variables when we have categorical variables in the Regression Equation. They are also known as Dummy Variables.
What are dummy variables in regression? Read More »
Multiple Linear Regression helps us to make predictions using two or more predictor variables. Concept of Multicollinearity is also very important in Regression Analysis.
Multiple Linear Regression Example Read More »
