APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A study showed that students who spend more time studying for statistics tests tend to achieve better scores on their tests. In fact, the number of hours studied turned out to explain 81% of the observed variation in test scores among the students who participated in the study. What is the value of the correlation between number of hours studied and test score?
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r = 0.81
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r = 0.656
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r = 0.9
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There is no way to know.
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Explanation:
Detailed explanation-1: -What percent of the observed variation in yearly changes in the index with is explained by a straight-line relationship the changes during January? The straight-line relationship is explained by r2 = 0.355 or, 35.5% of the variations in yearly changes in the index is explained by the changes during January.
Detailed explanation-2: -The least-squares line for predicting school GPA from IQ score, based on the 78 students, is given as: GPA=−8.56+(0.101×IQ) G P A = − 8.56 + ( 0.101 × I Q ) .
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