Learn How To Remove Outliers / Extreme Values Using Regression Method & Scaled Residuals in SPSS

The #Outliers and #extreme values can be detected using #univariate methods of #Boxplots in #statistics. but to remove outliers in a relationship / model we need to detect them using #regression method of single equation. This tutorial is a foundation that explores this regression method to detect outliers in #residuals in #crosssectional, #timeseries and #paneldata in #SPSS.

• #education
• #standard_errors
• #qq_plot
• #linear_regression
• #regression_analysis
• #spss_mastery
• #extreme_values
• #normality_test_in_spss
• #how_to_generate_residuals_in_spss
• #learn_how_to_remove_outliers_extreme_values_using_regression_method_scaled_residuals_in_spss
• #safe_way_remove_outliers_from_the_data_using_spss
• #spss_tutorial_for_data_analysis
• #how_to_use_spss_for_data_analysis
• #noman_arshed
• #learn_to_remove_outlier
• #is_it_safe_to_remove_outliers_from_the_data
• #standard_deviation