The percentage of variation in the values of y explained by the least squares regression line is: A) the y-intercept of the regression line. B) the coefficient of determination. C) Ļ. D) the correlation coefficient. E) the slope of the regression line.
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The slope of the regression line shows the rate of change in y as x changes, but it doesn't explain the variation in y values either. The correlation coefficient (Ļ) measures the strength and direction of a linear relationship between two variables, but it doesn't Show moreā¦
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The proportion of the variation in the values of a response y that is explained by the least-squares regression of y on x is the A) correlation coefficient. B) square of the correlation coefficient. C) slope of the least-squares regression line. D) intercept of the least-squares regression line. Which of the following is correct? The mean of the residuals from least-squares regression is 0. The square of the correlation is the proportion of the data lying on the least-squares regression line. The correlation r is the slope of the least-squares regression line. The square of the correlation is the slope of the least-squares regression line.
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Inference for Quantitative Data: Slopes
Quiz 31
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