In simple linear regression, which of the following statements is true about the coefficient of determination (R^2)? A) It indicates the proportion of variation in the dependent variable explained by the independent variable. B) It indicates the slope of the regression line. C) It is always equal to the correlation coefficient squared. D) It can never be negative.
In simple linear regression, which of the following statements is true about the coefficient of determination (R^2)? A) It indicates the proportion of variation in the dependent variable explained by the independent variable. B) It indicates the slope of the regression line. C) It is always equal to the correlation coefficient squared. D) It can never be negative.
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
Transcribed Image Text:In simple linear regression, which of the following statements is true about the coefficient of
determination (R^2)?
A) It indicates the proportion of variation in the dependent variable explained by the independent
variable.
B) It indicates the slope of the regression line.
C) It is always equal to the correlation coefficient squared.
D) It can never be negative.
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