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Slope
For each increase of 1 “unit” in “x”, the model predicts an (increase/decrease) of ________ “units” in “y”
y-intercept
The model predicts that at zero “units” of “x”, the “y” value will be _______ “units”.
Explain the association
There is a (weak/moderate/strong) (negative/positive) (linear/nonlinear) association between “x” and “y” for the “subjects in context”.
R2 value
_________ % of the variation in “y” can be explained by the linear model for “x” and “y”.
Residual
For a “x” value of _________ “units”, the model (over/under)estimated the actual value of “y” by _______ “units”
Standard error of residuals (Se)
_________ is the typical distance between the observed and predicted “y” values for the points in this regression.