Binary Fitted Line Plot for Predict Perfect Order Delivery Rate

Use Binary Fitted Line Plot to use one continuous predictor to predict perfect order delivery rate.

This example applies to the Supply Chain Module. For more information, go to www.minitab.com/supply-chain-module.

Example

Perfect order delivery rate is the proportion of orders that are error-free from beginning to end.

In this worksheet, Order Status is the response. The response event is Error-free. Number of Items is the continuous predictor.

Choose Solutions Modules > Functions > Supply Chain KPIs, then select Launch.
Under Quality, select Perfect order delivery rate.
Select Predict perfect order delivery rate, then click OK.
Select Binary Fitted Line Plot, then click OK.
In Response, enter the binary variable that contains the error data. Binary variables are categorical variables that have two possible levels, such as pass/fail or true/false. The response is also called the Y variable.
In Response event, select the value that represents an order is error-free.
(Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values in the row.
In Predictor, enter the continuous variable that may explain or predict whether an order is error-free. The predictor is also called the X variable.
Click OK.

For more information about this analysis, click Help in the main dialog box.