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Lecture
Linear Regression: Pearson Correlation
Description
This lecture introduces the Pearson correlation, which measures the linear relationship between two variables. It covers the computation of the correlation coefficient, the direction, form, and strength of the relationship, and the coefficient of determination. The instructor explains how to interpret correlation values, identify outliers, and assess regression model fit through residual analysis. Practical examples, such as the relation between shyness and speaking experience, are used to illustrate these concepts.
Official source
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