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FA25_QTM_110_1 Quiz #2: Correlation and Causation

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We're interested in modeling the relationship between number of cigarettes smoked per day and number of hospital visits over a person's lifetime.  Here, the predictor is number of cigarettes smoked per day and the outcome is number of hospital visits.  We run a regression and find that the regression coefficient is .03. This regression coefficient implies that, on average, increasing the number of cigarettes smoked per day by [选择] 1 .03 results in [选择] 1 .03 [选择] more fewer hospital visits, on average, over a person's lifetime.

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The question asks you to interpret a regression coefficient in a model where the predictor is the number of cigarettes smoked per day and the outcome is the number of hospital visits over a lifetime. First option (1): The regression coefficient is the change in the outcome for a one-unit change in the predictor. Therefore, increasing the num......Login to view full explanation

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