Testing for the existence of correlation is equivalent to
A) testing for the existence of the slope (β₁).
B) testing for the existence of the Y-intercept (β₀).
C) the confidence interval estimate for predicting Y.
D) None of the above.

Question

Quizplus · Accepted Answer

Testing for correlation is essentially testing whether there is a linear relationship between two variables, which involves testing for the existence of the slope (β₁) in the linear regression equation. The Y-intercept (β₀) is not necessarily informative in this context, and the confidence interval estimate for predicting Y is a tool for assessing the accuracy and precision of predictions for new data points, which is not directly related to the presence or absence of correlation.

Testing for the Existence of Correlation Is Equivalent to