Multiple Choice
Dr.Kim thinks his regression equation is very accurate, but he wonders if perhaps the mean is just as good at predicting scores as the regression equation.He knows that the correlation coefficient (r) for the two variables is quite high, -0.82.Should Dr.Kim use the mean or the regression equation to predict scores?
A) He should use the regression equation because the proportionate reduction in error (r2) is low.
B) He should use the regression equation because the proportionate reduction in error (r2) is high.
C) He should use the mean because the proportionate reduction in error (r2) is low.
D) He should use the mean because the proportionate reduction in error (r2) is high.
Correct Answer:

Verified
Correct Answer:
Verified
Q92: As the correlation coefficient becomes stronger, proportionate
Q93: Correlation involves relating variables, whereas regression involves
Q94: The standardized regression coefficient expresses a predicted
Q95: The proportionate reduction in error is a
Q96: In the social sciences, there are numerous
Q98: In a 2008 article by Hsiu-Ling Lee,
Q99: In the equation for a line in
Q100: The standardized regression coefficient, which is equal
Q101: Use the following to answer questions <br>The
Q102: If two variables, independently, can help predict