Correlational research: research to determine whether there is a relationship between two measures. Scatterplot: a graph in which one of the measures is plotted on the abscissa (x-axis) and the other is plotted on the ordinate (y-axis), and each participant is located at the point corresponding to his/her x and y values. The variable being predicted is the y-variable, also known as the criterion variable. The variable being used to make the prediction is termed the x variable, and is also known as the predictor variable. (independent variable is also x, and the dependent variable is y) Slope: a slant that is an indicator of a relationship between the two variables on a scatterplot. Positive relationship: one variable increases as the other increases. Negative relationship: one variable decreases as the other decreases. Correlation coefficient: used to numerically quantifying the degree of the relationship between the two variables.