PSYC 2520 Chapter Notes - Chapter 11: Scatter Plot, Contingency Table, Dependent And Independent Variables
7 Dec 2016
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Using a single number (called the correlation coefficient), you can indicate the strength of association between two variables: we describe correlations that reflect the degree to which mutual relations between x and. The pearson r is the correlation coefficient of choice in such situations. Values of r of 1. 0 (positive or negative) indicate a perfect linear relation, whereas 0 indicates that neither x nor y can be predicted from the other by use of a linear equation. A positive r tells us that an increase in x is associated with an increase in. Y, whereas a negative r indicates that an increase in x is associated with a decrease in y. The term continuous variable means that it is possible to imagine another value falling between any two adjacent scores, and a dichotomous variable means that the variable is divided into two distinct or separate parts.
