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Thumbnail for Foundational Regression – The Linear Regression Line (14-2)

Foundational Regression – The Linear Regression Line (14-2)

Research By Design

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Brief summary

Foundational Regression – The Linear Regression Line explains how to use the general linear model to predict outcomes by fitting a line through data points using the equation Ŷ = a + bX, where the slope and intercept define the relationship between variables.

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Best quote from Foundational Regression – The Linear Regression Line (14-2)

The linear regression line allows us to make better predictions because it passes through the middle of the scores.

—Research By Design
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