PY 355 Lecture Notes - Lecture 10: Scatter Plot, Multilevel Model, Regression Analysis

• School: University of Alabama
• Department: Psychology
• Course: PY 355
• Professor: Craig Walter Cummings

Document Summary

Advanced correlational strategies: allow researchers to understand how and why sets of variables are related, advanced correlational strategies include: regression analysis cross-lagged panel design structural equations modeling. 0 - the y-intercept of the line that best fits the data in the scatter plot; also called the regression constant. 1 - the slope of the line that best represents the relationship between the predictor variable (x) and the criterion variable (y); also called the regression coefficient. Y - the variable we would like to predict; this is also called the dependent variable, criterion variable, or outcome variable. X - the variable we are using to predict y; also called the predictor variable. In this matrix, variables a, b, and c correlate highly with each other, whereas. Variables d and e correlate highly with each other. This pattern suggests that there may be two factors underlying this pattern of correlations.