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Pre-study scores versus post-study scores for a class of 120 college freshman English students were considered. The residual plot for the least squares regression line showed no pattern. The least squares regression line was y' = 0.2 + 0.9x with a correlation coefficient r = 0.68 What percent of the variation of post-study scores can be explained by the variation in pre-study scores? 46.2% 68.0% 82.5% 32.0% We cannot determine the answer using the information given.

Pre-study scores versus post-study scores for a class of 120 college freshman English students were considered. The residual plot for the least squares regression line showed no pattern. The least squares regression line was y' = 0.2 + 0.9x with a correlation coefficient r = 0.68 What percent of the variation of post-study scores can be explained by the variation in pre-study scores? 46.2% 68.0% 82.5% 32.0% We cannot determine the answer using the information given.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Pre-study scores versus post-study scores for a class of 120 college freshman English students were considered. The residual plot for the least squares regression line showed no pattern. The least squares regression line was y' = 0.2 + 0.9x with a correlation coefficient r = 0.68 What percent of the variation of post-study scores can be explained by the variation in pre-study scores? 46.2% 68.0% 82.5% 32.0% We cannot determine the answer using the information given.
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