Binary Fitted Line Plot
Coefficients Table - Logistic Model
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Binary Fitted Line PlotCoefficients Table - Logistic Model |
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Binary fitted line plot examines the relationship between one continuous predictor variable and a binary response. The logistic equation can be used to examine how the probability of an event changes as the predictor variable changes.
Positive coefficients indicate that an increase in the predictor makes the event in the response variable more likely. Negative coefficients indicate an increase in the predictor makes the event in the response less likely. Coefficients close to zero indicate that an association between the predictor and binary response may not be important.
Example Output |
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For the health care center data, the negative coefficient for length means that the longer the stay, the less likely that the center discharges a patient for other reasons. The coefficient is close to 0 and the deviance table shows that the coefficient is not statistically significant at the 0.10 significance level. The length that a patient stays at the center does not explain very much about how the patient leaves.
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