In least squares regression,the residuals e1,e2,... ,en will always have a zero mean.
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Q1: If R2 = .36 in the model
Q2: The least squares regression line is obtained
Q5: Pearson's correlation coefficient (r) requires that both
Q6: The fitted intercept in a regression has
Q6: The width of a prediction interval for
Q7: The correlation coefficient r always has the
Q9: A sample correlation r = .40 indicates
Q9: The least squares regression line gives unbiased
Q10: In a simple regression,the correlation coefficient r
Q18: The correlation coefficient r measures the strength
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