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The square of the correlation coefficient r 2 will always be positive and is called the ________ (a) Regression (b) Coefficient of determination (c) KNN (d) Algorithm The question was asked during an internship interview. My question comes from Linear Regression in chapter Commands, Packages, Visualizing Data and Linear Regression of R Programming Select the correct answer from above options

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Correct option is (b) Coefficient of determination The explanation is: The square of the correlation coefficient r square will always be positive and is called the coefficient of determination. This also is equal to the proportion of the total variability that’s explained by a linear model.

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