PSYC 2040 Lecture : Lab Review November 12 copy.docx

• School: University of Guelph
• Department: Psychology
• Course: PSYC 2040
• Professor: Dan Yarmey

Document Summary

Lab review november 12, 13: multiple predictors in the equations to find the best estimate of our criterion, zero order correlation the pearson order of correlation, little r, represented by the overlap between predictor and criterion, y prime = b0 + b1x + b2w + b3z, y prime is our best guess to the score of y, large r is the amount that can be explained from all of our predictor variables, this week they are not equivalent because we have multiple predictors so hopefully we have more variance explained in our criterion, beta weights gets rid of our y intercept in our equation, has to do with the unique variance of each predictor, if beta weights are significant, we know that the part correlations are also significant, part correlations is unique variance in the criterion accounted for by each predictor.