Correlation and regression both can help researchers to
A)understand how one variable is causally related to a second
B)describe a linear relationship between two variables
C)describe data for a single variable
D)understand the distribution for scores on one variable

Question

Quizplus · Accepted Answer

Correlation and regression are both used to describe the relationship between two variables. Correlation describes how two variables are related in terms of their strength and direction, while regression describes the linear relationship between two variables and can be used to make predictions about one variable based on the other. Neither method can determine causality between two variables, as this requires experimental manipulation of one variable and observation of its effects on the other. Describing data for a single variable or understanding the distribution of scores on one variable is typically done through measures of central tendency and variability.

Correlation and Regression Both Can Help Researchers to