PSYC 301 Lecture Notes - Lecture 12: Simple Linear Regression, Linear Regression, Structural Equation Modeling
Document Summary
Simple linear regression: statistical tool that lets us predict a person"s score on a dependent variable from his or her score on one independent variable, allows us to calculate the equation for a straight line that describes data. Multiply the z score by the correlation coefficient zx=x mx. Convert the z score to a raw score: simple linear regression: z =(rxy)(zx) Find the z score for an x of 0. Find the z score for an x of 1. Use the z score regression equation to calculate the predicted z score on y. Use the z score regression equation to calculate the predicted z score on y z =(rxy)(zx) z =(rxy)(zx) Convert the z score to its raw score. Determine the slope: positive slope: as x increases from 0 to 1, y increases, negative slope: as x increases from 0 to 1, y decreases.
