PSY 2106 Study Guide - Final Guide: Pearson Product-Moment Correlation Coefficient, Linear Regression, Squared Deviations From The Mean

• School: University of Ottawa
• Department: Psychology
• Course: PSY 2106
• Professor: Victor Emerson

Document Summary

3 important aspects of relationship btwn 2 variables (assumptions underlying correlation coefficient: direction of the relationship, negative or positive sign indicates direction, positive correlated: variables vary together, changing in same direction, negative correlated: change in opposite direction (as on increases, the other decreases) If two variables are negatively correlated, they change in the opposite direction; as one increases, the other decreases. If data points fall exactly on straight line, there is perfect relationship btwn the 2 variables (x&y: pearson product-moment correlation coefficient, the pearson correlation coefficient is used with interval and. Victor emerson: calculation of sp: example, the numbers at right show the, consider the data matrix at right, below, we calculate the deviation scores for x and y in this matrix. Computational formula (easier to use) multiplied deviations calculated by the definitional formula. (x -m x ) M (x -m x )(y -m y )