PSY 350 Lecture Notes - Lecture 50: Psy, Analysis Of Variance, Test Statistic
Document Summary
Perform and interpret a simple linear regression analysis. Find and interpret effect sizes for linear regression. Simple linear regression = one predictor, one outcome. Remember that we need to accomplish two things in a regression analysis. Find the straight line (linear equation/linear model) that best fits the data. Evaluate how well that line fits the data. If we find the least squares solution, then: Ssx = the sum of squares for the x values. Once we know b, then we find a by: It tells us how strong the relationship is between our predictor and our outcome. Large b = a change in the predictor corresponds to a large change in the outcome. Small b = a change in the predictor corresponds to a small change in the outcome. Positive b = a change in the predictor corresponds to an increase in the outcome.
