3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B....


3. If there is a linear, strong, and positive relationship between<br>the scores on two tests, we should conclude that<br>A. Scoring high on one test causes an individual to score<br>high on the other test.<br>B. high scores on one test are associated with low scores<br>on the other test.<br>C. as one test score goes down, the other test score goes<br>up.<br>D. low scores on one test are associated with low scores<br>on the other test.<br>E. the value of r must be close to 0.<br>

Extracted text: 3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B. high scores on one test are associated with low scores on the other test. C. as one test score goes down, the other test score goes up. D. low scores on one test are associated with low scores on the other test. E. the value of r must be close to 0.

Jun 04, 2022
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