Regression - Crash Course Statistics

The video introduces the General Linear Model (GLM), focusing on its flexibility in statistical modeling. It explains the basics of regression models, including how they predict outcomes and account for errors. The video discusses handling outliers and their influence on regression lines. It covers the F-test for hypothesis testing, explaining how it helps determine the significance of regression models. The video also delves into the concepts of sums of squares and error, concluding with the practical applications of regression in various fields.

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