APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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In MLR, the square of the multiple correlation coefficient or R2 is called the ____
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Variance
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Covariance
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Coefficient of determination
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Big R
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Explanation:
Detailed explanation-1: -The coefficient of determination or R squared method is the proportion of the variance in the dependent variable that is predicted from the independent variable. It indicates the level of variation in the given data set. The coefficient of determination is the square of the correlation(r), thus it ranges from 0 to 1.
Detailed explanation-2: -The coefficient of determination, or R2, is a measure that provides information about the goodness of fit of a model. In the context of regression it is a statistical measure of how well the regression line approximates the actual data.
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