Interpret the key results for Predict for Binary Logistic

First, determine the predicted probability of the response. Then, examine the confidence interval to determine a range of likely values for the probability.

The fit is the predicted mean of the response at the specified variable settings. If the relationship between the variables in the model is accurate and does not change, then the mean of the future observations is close to the fit.

Regression Equation
Settings
Variable
Setting
Prediction
Fit
SE Fit
Key Results: Fit, 95% CI

Minitab uses the stored model to estimate that the probability is 0.3998. The confidence interval indicates that the analyst can be 95% confident that the probability falls within the range of approximately 0.07 to 0.85. This wide range indicates that the model does not produce precise predictions.

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