Unit 7-Measures of Association: Correlation and Regression

These flashcards cover key vocabulary and concepts from the lecture on measures of association, correlation, and regression.

Criterion Variable

The dependent variable that we are trying to predict in a correlational study.

Predictor Variable

The independent variable, typically represented on the x-axis, used to predict the criterion variable.

Scatterplot

A graph that displays the relationship between two variables; used to visually assess correlations.

Positive Relationship

A relationship where an increase in one variable corresponds with an increase in another variable.

Negative Relationship

A relationship where an increase in one variable corresponds with a decrease in another variable.

Pearson Product Moment Correlation (PPMC)

A statistic that measures the strength and direction of the linear relationship between two variables.

Coefficient of Determination (r²)

The proportion of variability in one variable that can be explained by its relationship with another variable.

Standard Error of Estimate (SEE)

A measure of the accuracy of predictions made with a regression line.

Residuals

The differences between observed values and predicted values in a regression analysis.

Hypothesis Testing

A method to determine whether there is a statistically significant relationship between two variables.