If the correlation between to variable is -1.00, and the student got a score

1.3 standard deviation below the mean on the 1st variabe, what score would you predict for the student on the 2nd variable and why?

Hi Johnson,

A corr. coeff. at -1 indicates a perfect negative linear relationship. I think if X is 1.3 sd below mean of X, then Y may be 1.3 sd above the mean of Y. I am not 100% sure though...