A researcher wants to predict graduate-school grade point average
(GPA) from GRE verbal scores (which is what the pesky GRE is supposed to
do, anyway!). She gathers data on fifty graduate students. Below are
the data “high points”:
Independent (predictor) variable X = GRE verbal score
Mean .missouri.edu/exec/data/courses2/coursegraphics/2425/X.gif”> = 520
Standard Deviation .missouri.edu/exec/data/courses2/coursegraphics/2425/06-8.gif”> = 90
Dependent (criterion) variable Y = GPA
Mean .missouri.edu/exec/data/courses2/coursegraphics/2425/06-9.gif”> = 3.30
Standard Deviation .missouri.edu/exec/data/courses2/coursegraphics/2425/06-10.gif”> = 0.88
r = .50 (correlation between GRE verbal and GPA)
A. Given a score of 580 on the GRE verbal test, what GPA would you predict?
B. Calculate the standard error for the predicted GPA for 1A.