PSYC 2301 Lecture Notes - Lecture 13: Pearson Product-Moment Correlation Coefficient, Squared Deviations From The Mean, Rho
Document Summary
14. 1 introduction to correlation: measures and describes the relationship between two variables, characteristics of relationships. Direction (negative or positive; indicated by the sign, + or of the correlation coefficient) Strength or consistency (varies from 0 to 1: characteristics are all independent. 14. 2 the pearson correlation: measures the degree and the direction of the linear relationship between two. Every change in x has a corresponding change in y variables: perfect linear relationship. X of r and ity separatel y variablity. Sum of products (sp: similar to ss (sum of squared deviations, measures the amount of covariability between two variables, sp definitional formula: Sp computational formula: definitional formula emphasizes sp as the sum of two difference scores, computational formula results in easier calculations, sp computational formula: Pearson correlation calculation: ratio comparing the covariability of x and y. Y n (numerator) with the variability of x and y separately (denominator) r .
