Binary Logistic Regression for Predict Yes/no Survey Responses

Use Binary Logistic Regression to use multiple predictors to predict whether a survey response is likely to be yes or no.

This example applies to the Customer Contact Center Module. For more information, go to www.minitab.com/customer-contact-center-module.

Example

A yes/no survey question is one where the response can be one of 2 possible values.

In this worksheet, Response is the response. The response event is No. Hold Time is a continuous predictor, and Call Center Location is a categorical predictor.

C1-T	C2	C3-T
`Response`	`Hold Time`	`Call Center Location`
Yes	58	East
Yes	45	East
No	50	West
No	102	West

How-to

Choose Solutions Modules > Functions > Customer Contact Center KPIs, then select Launch.
Under Customer Satisfaction, select Yes/no survey.
Select Predict yes/no survey responses, then click OK.
Select Binary Logistic Regression, then click OK.
In Response, enter the binary variable that contains the survey response. 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 the event you want to predict.
(Optional) In Frequency, enter the column that contains the counts that correspond to the response and predictor values in the row.
In Continuous predictors, enter the continuous variables that may explain or predict whether a response is yes or no. The predictors are also called X variables.
In Categorical predictors, enter the categorical variables that may explain or predict whether a response is yes or no. The predictors are also called X variables.
Click OK.

Tip

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