Pearson's r is a symmetrical measure of association between two variables.
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Q22: The size and effect of the independent
Q23: The y-intercept is the value of y
Q24: Pearson's r is a proportional reduction in
Q25: In the equation y = a +
Q26: If two variables are very closely related
Q28: In a multiple regression equation, the interaction
Q29: Researchers typically report the adjusted R-square value
Q30: Correlation analysis produces a statistic that estimates
Q31: Researchers typically use correlation analysis during the
Q32: When two independent variables are closely related
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