Studied by 6 people
r
correlation
Standard deviation of the residuals “s”
the size of a typical residual, typical distance between the actual y values and the predicted y values.
Interpretation of “s”
The actual (y) is typically about # away from the (y) predicted by the least-squares regression line when x=(x)
Coefficient of determination “r²”
measures the percent of the variability in the response variable that is accounted for by the least squares regression line.
Interpretation of “r²”
About #% of the variability in (y) is accounted for by the least-squares regression line with x=(x).
High leverage
much larger or much smaller x values than the other points in the data set.
Outlier
does not follow the pattern of the data and has a large residual.
Influential point
If removed, substantially changed the slope, y intercept, correlation, coefficient of determination, or standard deviation of the residuals.
Linear (transformation)
x, y
Power (transformation)
lnx, lny
Exponential (transformation)
x, lny
Note 
Flashcard (102)