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Correlation Answers

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Which of the following best describes why the equation ŷ = 11.4 – 0.0966x is called the least-squares regression line?

A
It maximizes the sum of the squared residuals.
B
It minimizes the sum of the squared residuals.
C
It has the least predictive qualities for the data.
D
It passes through each data point.

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