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Inferential Statisticshard
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In a logistic regression model logit(p)=β0+β1Xlogit(p) = \beta_0 + \beta_1 Xlogit(p)=β0​+β1​X, how is the effect of XXX interpreted when the coefficient β1=0.5\beta_1 = 0.5β1​=0.5?