How to Evaluate the Performance of a Linear Regression Model?

We need a way to evaluate the performance of linear regression model to check the prediction accuracy. Following methods are used to evaluate the model.

 

1. Mean Squared Error (MSE)
2. Root Mean Squared Error (RMSE)
3. Mean Absolute Error (MAE)
4. R-squared (R2)
5. Adjusted R-squared
6. Residual Analysis etc.,

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