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When examining a linear relationship between two quantitative variables the correlation coefficient r represents the percent of variation in y that can be explained by
When examining a linear relationship between two quantitative variables the correlation coefficient r represents the percent of variation in y that can be explained by the model O is the slope of the regression line measures both the strength and the direction of the relationship O measures the direction of the relationship O is not appropriate measures the strength of the relationship
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