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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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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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