Select all the statements that are true of a least-squares regression line. O The coefficient of determination measures how much of the variation in the y-values is explained by the regression line. The sum of the squares of the residuals is the smallest sum possible. The slope of the regression line is resistant to outliers. O In the equation of the least-squares regression line, y is an observed value when x is known. O In the equation of the least-squares regression line, y is a predicted value when x is known. O The regression line maximizes the residuals between the observed values and the predicted values.

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Select all the statements that are true of a least-squares regression line.
O The coefficient of determination measures how much of the variation in the y-values is explained by the
regression line.
O The sum of the squares of the residuals is the smallest sum possible.
The slope of the regression line is resistant to outliers.
In the equation of the least-squares regression line, ŷ is an observed value when x is known.
O In the equation of the least-squares regression line, ŷ is a predicted value when x is known.
O The regression line maximizes the residuals between the observed values and the predicted values.
8
Transcribed Image Text:gnment Score: 0% Resources L Give Up? O Hint check Ans tion 6 of 15 Select all the statements that are true of a least-squares regression line. O The coefficient of determination measures how much of the variation in the y-values is explained by the regression line. O The sum of the squares of the residuals is the smallest sum possible. The slope of the regression line is resistant to outliers. In the equation of the least-squares regression line, ŷ is an observed value when x is known. O In the equation of the least-squares regression line, ŷ is a predicted value when x is known. O The regression line maximizes the residuals between the observed values and the predicted values. 8
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