Common-Core/ Grade 9
Maths MCQ Based On Regression lines
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Common-Core Grade 9 - 9 Regression lines
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The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
regression lines
The least-squares regression line of this data set predicts that if the value of x goes up by 1 then the value of y decreases.
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
The least squares regression line, y=ax+b is the line for which the sum of the squares of the residuals is minimized
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