This course teaches the basics of Linear Regression and Linear Models, enabling learners to predict continuous values using both continuous and categorical variables. The course covers topics such as fitting a line to data, multiple regression, t-tests, ANOVA, design matrices, P values, and R-squared. The teaching method includes video tutorials and practical examples in R. This course is suitable for individuals interested in statistics, data analysis, and predictive modeling.
Overview
Syllabus
StatQuest: Fitting a line to data, aka least squares, aka linear regression..
StatQuest: Linear Models Pt.1 - Linear Regression.
StatQuest: Linear Regression in R.
StatQuest: Linear Models Pt.1.5 - Multiple Regression.
StatQuest: Linear Models Pt.2 - t-tests and ANOVA.
Linear Models Pt.3 - Design Matrices.
StatQuest: Multiple Regression in R.
StatQuest: Linear Models Pt.3 - Design Matrix Examples in R.
StatQuest: P Values, clearly explained.
StatQuest: R-squared explained.
Taught by
StatQuest with Josh Starmer
