1 Why do we use the deviance statistic rather rather than log likelihood as our goodness of fit statistic in logistic regression 2 Assuming we have a logistic regression model with a binary outcome and a categorical (binary) predictor variable When our odds ratio is greater than 1, how is that interpreted 1 Why do we use the deviance statistic rather rather than log likelihood as our goodness of fit statistic in logistic regression 2 Assuming we have a logistic regression model with a binary outcome and a categorical (binary) predictor variable When our odds ratio is greater than 1, how is that interpreted

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1  Why do we use the deviance statistic rather rather than log likelihood as our goodness of fit statistic in logistic regression  2  Assuming we have a logistic regression model with a binary outcome and a categorical (binary) predictor variable  When our odds ratio is greater than 1, how is that interpreted  1  Why do we use the deviance statistic rather rather than log likelihood as our goodness of fit statistic in logistic regression  2  Assuming we have a logistic regression model with a binary outcome and a categorical (binary) predictor variable  When our odds ratio is greater than 1, how is that interpreted

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1. Why do we use the deviance statistic rather rather than log-likelihood as our goodness of fit statistic in logistic regression? 2. Assuming we have

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