Binary Logistic Regression in Excel using QI Macros

Binary Logistic Regression estimates the probability of an event occurring, such as voted or didn't vote, based on a given dataset of independent variables. Since the outcome is a probability, the dependent variable is bounded between 0 and 1.

Logistic Regression in Excel


How to Conduct Binary Logistic Regression in Excel using QI Macros

Here is an example of Binary Logistic Regression in Excel using QI Macros.

  1. Select two or more columns of data (NOTE: The first column of your data must be setup as 1 (pass) or 0 (fail), while the next column(s) in your data set should include your predictors):
  2. Sample Data for Logistic Regression

    The sample data shown above is found in QI Macros Help > Open QI Macros Sample Data > statistical.xlsx > Logistic Regression tab

  3. Next, click on the QI Macros menu and choose Statistical Tools > Regression & Other Statistics > Logistic Regression (Binary):
  4. QI Macros Logistic Regression

    Excel's Solver add-in is used to perform the Coefficients calculations.

    If Solver is not enabled in your Excel, you will be provided with information about how to calculate the Coefficients manually, using Solver.

  5. Evaluate the Logistic Regression Results:

Logistic Regression Example in Excel

If you are using a Mac, you will need to calculate the Coefficients manually with Solver.

In this example:

  • The probability of passing the test is derived from past data.
  • The number of hours of study can then be used to predict the probability that a student will pass the test.

NOTE: We only offer Binary Logistic Regression. We do not offer Multinomial or Ordinal Logistic Regression.

*Functionality introduced in the July 2022 version of QI Macros*


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