Dive into a comprehensive 10-video series on regression analysis, covering essential concepts and advanced topics over 4 hours and 30 minutes. Begin with the fundamentals of regression, including Sum of Squared Errors (SSE), Sum of Squared Regression (SSR), Sum of Squared Total (SST), R-squared, and error types. Progress through degrees of freedom, adjusted R-squared, and interpreting regression output. Explore non-linear relationships, logarithms, and advanced regression techniques such as categorical variables and interaction terms. Delve into logistic models and logit models, followed by an in-depth examination of regression assumptions. Conclude with extensive discussions on heteroskedasticity, multicollinearity, and autocorrelation, including simulations for enhanced understanding.
Overview
Syllabus
What is Regression? | SSE, SSR, SST | R-squared | Errors (ε vs. e).
Regression II - Degrees of Freedom EXPLAINED | Adjusted R-Squared.
Regression Output Explained.
REGRESSION: Non-Linear relationships & Logarithms.
Advanced Regression - Categorical X variables and Interaction terms.
WHAT ARE LOGIT MODELS?? (Logistic models).
Regression assumptions explained!.
What is Heteroskedasticity?.
What is Multicollinearity? Extensive video + simulation!.
What is autocorrelation? Extensive video!.
Taught by
zedstatistics
