Linear Regression and Linear Models
Offered By: YouTube
Course Description
Overview
Dive into the fundamentals of Linear Regression and Linear Models through a comprehensive video series spanning 1 hour and 30 minutes. Learn how to utilize continuous and categorical variables to predict continuous outcomes, exploring concepts such as least squares fitting, multiple regression, t-tests, and ANOVA. Gain practical skills by applying these techniques in R, understanding design matrices, and interpreting key statistical measures like p-values and R-squared. Master one of statistics' most powerful tools for data analysis and prediction.
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
Related Courses
Introduction to Linear Models and Matrix AlgebraHarvard University via edX Case Studies in Functional Genomics
Harvard University via edX Introdução ao Marketing Analítico
Insper via Coursera Fundamentals of Quantitative Modeling
University of Pennsylvania via Coursera Обучение на размеченных данных
Moscow Institute of Physics and Technology via Coursera