What is the primary reason for using adjusted R squared instead of regular R squared in multiple regression Adjusted R squared always has a higher value Adjusted R squared penalizes the model for adding irrelevant predictors Adjusted R squared is only used when the sample size is large Adjusted R squared is used to measure multicollinearity

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What is the primary reason for using adjusted R squared instead of regular R squared in multiple regression  Adjusted R squared always has a higher value Adjusted R squared penalizes the model for adding irrelevant predictors Adjusted R squared is only used when the sample size is large Adjusted R squared is used to measure multicollinearity

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Question: What is the primary reason for using adjusted R-squared instead of regular R-squared in multiple regression? Adjusted R-squared always has a higher value Adjusted R-squared

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