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Model Perspective

Nov 20, 2022 · Fundamentals

Mastering Multiple Linear Regression: Models, ANOVA, and Dummy Variables

This article explains the fundamentals of multiple linear regression, covering model formulation, least‑squares estimation, ANOVA tables, adjusted R‑squared, standard error, hypothesis testing for coefficients, and the use of dummy variables for categorical predictors.

ANOVAadjusted R-squareddummy variables

0 likes · 6 min read

Mastering Multiple Linear Regression: Models, ANOVA, and Dummy Variables

Model Perspective

Sep 14, 2022 · Fundamentals

Mastering Grouped and Dummy Variable Regression: Weighted Models Explained

This article explains how regression can handle grouped (aggregated) data using weighted least squares, illustrates the impact of heteroskedasticity, and shows how dummy variables encode categorical factors for flexible, non‑parametric modeling of treatment effects.

dummy variablesgrouped dataheteroskedasticity

0 likes · 12 min read

Mastering Grouped and Dummy Variable Regression: Weighted Models Explained