Regression notes
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6 Terms
Correlation (r)
The association between x-content and y-content is weak/moderate/strong (Strength) and positive/negative (direction) and linear
residual
the actual y-context was residual above/below the predicted value when x-context = given x-val #
y-intercept
the predicted y-context when x=0 context is y-intercept
slope
the predicted y-context increases/decreases by slope for each additional x-context
coefficient of determination (r²)
about r²% of the variation in y-context can be explained by the linear relationship with x-context
describe the relationship (SOFA)
the scatterplot reveals a strong/weak/moderate, positive/negative, linear association between the x-content and y-content. Mention potential outliers.
