APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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If I tell you that the correlation between two variables is .50, what is the variance accounted for (i.e. what % of the change in y is explained by the change in x)?
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.50
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.25
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.75
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.10
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Explanation:
Detailed explanation-1: -Answer and Explanation: 81% variance explained by the explanatory variables in the model.
Detailed explanation-2: -For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r =-0.2 suggest a weak, negative association. A correlation close to zero suggests no linear association between two continuous variables.
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