Question

complete the statement.
when the value of r is not significant, select should be used to predict y.
options:
the mean of the y values
the mean of the x values
the slope of the regression line
the y intercept of the regression line
no value

Explanation:

When the correlation coefficient \( r \) is not significant, there is no meaningful linear relationship between \( x \) and \( y \). Thus, the best predictor for \( y \) is the central tendency of the \( y \)-values, which is their mean. Using the mean minimizes prediction error in the absence of a significant linear association.

Answer:

the mean of the y' values