Linear Regression (part 1)
how2stats
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Linear Regression (part 1) breaks down how to predict outcomes using a regression equation by explaining slope, intercept, and error terms, and shows how these relate to real-world variables like stress and health through scatter plots and correlations.
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It's trying to be placed within the scatter plot in such a way as to minimize the distance between the observations in the data.
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