The least squares principle is used to determine the best-fitting line.
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Q1: The values of a and b in
Q2: If the coefficient of determination is expressed
Q9: The regression equation is used to estimate
Q20: A confidence interval can be determined for
Q31: In order to visualize the regression equation
Q32: The technique used to measure the strength
Q33: The standard error of estimate is used
Q37: Trying to predict weekly sales with a
Q39: One assumption underlying linear regression is that
Q40: When testing the strength of the relationship
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