Multiple regression always results in greater prediction accuracy than simple regression.
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Q51: To do linear regression, there must be
Q52: Properly speaking, we should limit our predictions
Q53: When the relationship is perfect, the regression
Q54: The total error in prediction equals S
Q55: If s X = s Y then
Q57: When doing regression, it is customary to
Q58: If the correlation between two variables is
Q59: Pearson r is the slope of the
Q60: An imperfect relationship generally yields exact prediction.
Q61: Using a second predictor variable always increases
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