Unit 5: Linear Regression

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Last updated 8:23 PM on 10/13/26
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7 Terms

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Correlation: R

The linear association between x-context and y-context is weak/moderate/strong (strength) and positive/negative (direction)

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Residual

The actual y-context was residual above/below the predicted value when x-context = #

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Y-intercept

The predicted y-context when x=0 context is y-intercept

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Slope

The predicted y-context increases/decreases by slope for each additional x-context

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Coefficient of determination (r²)

About r²% of the variation in y context can be explained by the linear relationship with x-context

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Standard deviation of residuals (s)

The actual y-context is typically about s away from the value predicted by the LSRL with x=context

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Describing the relationship

Direction

Unusual features

Form

Strength