A correlation coefficient measures the strength of association between two variables. The sign (positive or negative) indicates the direction of the correlation; the absolute value measures the strength of the association. Regression is used to predict the value of one variable on the basis of the value of a correlated variable.
-In Lubbock, Texas, rainfall and temperature exhibit a significant correlation of -0.7. Which conclusion is correct?
A) There is usually more rainfall when the temperature is high.
B) There is usually more rainfall when the temperature is low.
C) Rainfall is equally likely when the temperature is high or low.

Question

Quizplus · Accepted Answer

A correlation of -0.7 indicates a strong negative correlation, meaning that as temperature increases, rainfall tends to decrease, and vice versa.

A Correlation Coefficient Measures the Strength of Association Between Two