Specify the options for Binary Fitted Line Plot

Stat > Regression > Binary Fitted Line Plot > Options

Confidence level for all intervals

Enter the level of confidence for the confidence interval that is displayed on the fitted line plot.

Usually, a confidence level of 95% works well. A 95% confidence level indicates that, if you took 100 random samples from the population, the confidence intervals for approximately 95 of the samples would contain the parameter that the interval estimates. For a given set of data, a lower confidence level produces a narrower interval, and a higher confidence level produces a wider interval.

Note

To display the confidence interval, you must go to the Graphs subdialog box, and under Binary fitted line plot, select Display confidence interval.

Type of confidence interval

You can select a two-sided interval or a one-sided bound. For the same confidence level, a bound is closer to the point estimate than the interval. The upper bound does not provide a likely lower value. The lower bound does not provide a likely upper value.
Two-sided
  • Use a two-sided confidence interval to estimate both likely lower and upper values for the probability of the event.
Lower bound
  • Use a lower confidence bound to estimate a likely lower value for the probability of the event.
Upper bound
  • Use an upper confidence bound to estimate a likely lower value for the probability of the event.

Increment for odds ratio

Enter a value to change the units for calculating the odds ratio from the units in the data. For example, if the predictor is mass in grams, enter 1000 to determine the change in the odds ratio for a kilogram.

By using this site you agree to the use of cookies for analytics and personalized content.  Read our policy