PSYCH 2220H Lecture Notes - Lecture 16: Standard Deviation, Test Statistic, Analysis Of Variance

• School: Ohio State University
• Department: Psychology
• Course: PSYCH 2220H
• Professor: Cravens- Brown Lisa Marie

Document Summary

1 independent variable: equation for straight line (y=mx+b) Changed to =a+bx: least squares regression line. Intercept (a) tells us what value of y we expect when x=0. A: slope (b) tells us amount of change in y for every 1 unit change in x. 6: scatterplot data, calculation example for a z-score method. Use z-score regression equation to calculate predicted z-score on y. Convert z-score for back into raw score. 2. 84: calculation for slope (b) z-score method z . Use z-score regression equation to calculate predicted z-score for. Convert z-score for back to raw score. Determine slope by looking at differences between the predicted. People who had 0 cans are predicted to be -2. 02 happy. People who had 1 can were predicted to be -0. 42 happy. People are happier with more cans of cherry pie filling. Standardized regression coefficient: we might want to compare 2 studies of the same construct using different measures, standardized regression coefficient = .