Assuming the sample size is the same, r^2 accounts for the amount of variability explained by r.
r^2 = .04
r^2 = .16
A researcher finds that the correlation between variable A and variable B is
r = +.20. She also finds that the correlation between variable C and variable B is
r = -.40. Which relationship is scientifically more useful and by how much?
1 answer