Regression analysis (Part 6) - Adjusted R-squared скачать в хорошем качестве

Regression analysis (Part 6) - Adjusted R-squared

One of the drawbacks of R-squared is it always increases when you add additional predictors to a model. Instead of using R-squared, Adjusted R-square should be used to compare models with different numbers of independent variables. Adjusted R-squared should be used while selecting important predictors or independent variables for the regression model. Watch other series of videos for regression analysis : Regression Analysis (Part 1) -Pearson Correlation Explain (Solution using Minitab and Excel)    • Regression Analysis (Part 1) -Pearson Corr...  ​ Regression Analysis (Part 2) -Basic concept of Simple Linear Regression    • Regression Analysis (Part 2) -Basic concep...  ​ Regression Analysis (Part 3) -Least Square Method    • Regression Analysis (Part 3) -Calculate Sl...  ​ Regression Analysis (Part 4) - Residual Analysis    • Regression Analysis (Part 4) - Residual An...   Regression Analysis (Part 5) - Coefficient of Determination (R -Squared)    • Regression Analysis (Part 5) - Coefficient...   Regression analysis (Part 6) - Adjusted R-squared    • Regression analysis (Part 6) - Adjusted R-...   Regression analysis (Part 7) - Multicollinearity    • Regression analysis (Part 7) - Multicollin...