The least squares regression line gives unbiased estimates of β0 and β1.
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Q2: The least squares regression line is obtained
Q4: In a simple regression, if the coefficient
Q5: Pearson's correlation coefficient (r) requires that both
Q6: The width of a prediction interval for
Q7: The correlation coefficient r always has the
Q9: A sample correlation r = .40 indicates
Q10: In a simple regression,the correlation coefficient r
Q12: If r = .55 and n =
Q15: In the model Sales = 268 +
Q18: The correlation coefficient r measures the strength
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