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Linear Regression and Linear Models

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Overview

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This course introduces linear regression and linear models for predicting continuous values from continuous and categorical variables. It covers least squares, multiple regression, t-tests, ANOVA, design matrices, p-values, R-squared, and implementations in R.

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

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