State the definition of correlation.
Distinguish between the strength and the direction of a correlation.
Describe the values that the correlation coefficient can have and what they mean.
Recognize examples of a positive, negative, or zero correlation illustrated by data.
Interpret the direction and strength of a correlation from a scattergram.
Explain the situations in which the correlation coefficient would underestimate or overestimate the strength of a relationship.
State the type of data for which regression analysis is appropriate.
State the purpose of regression analysis.
Recognize and interpret a regression line and a regression equation.
Calculate predicted scores using a regression line and a regression equation.
Distinguish between explained and unexplained variance.
Explain the importance of r-squared.
Explain the purpose of conducting a standardized regression analysis.
Distinguish between simple regression and multiple regression.
Explain what a "predictor variable" and a "criterion variable" are.
Explain the significance of a correlation between two or more predictor variables.
Explain the concepts of "common explained variance" and "unique explained variance".
Explain the concept of "residual variance".
Distinguish between appropriate and inappropriate interpretations of a multiple regression analysis.