Binary Fitted Line Plot for Predict Back-order Rate

Use Binary Fitted Line Plot to use one continuous predictor to predict backorder rate.

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

Example

Backorder rate is the proportion of orders that cannot be filled when the customer orders them.

In this worksheet, Inventory Status is the response. The response event is Backorder. Number of Items is the continuous predictor.

Choose Solutions Modules > Functions > Supply Chain KPIs, then select Launch.
Under Quality, select Back-order rate.
Select Predict back-order rate, then click OK.
Select Binary Fitted Line Plot, then click OK.
In Response, enter the binary variable that contains the backorder 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 a backorder.
(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 has a backorder status. The predictor is also called the X variable.
Click OK.

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