Enter the data into the box on the right. Data can be directly copied from Excel or pasted as values in comma-separated, tab-separated, or space-separated formats. If the data is being entered manually, only place one value per line. The format should be as follows:

Place the dependent variable into the first column. This has to be a binary value (1 or 0). The subsequent columns (Data Set 2 and onwards) should hold independent variables. Users can insert up to ten independent variables per analysis. To add a new data set, press on the ‘+’ tab above the data entry area. Variables can be named by double clicking the tab but is optional.

Verify your data is accurate in the table that appears.

Press the "Calculate Probit Regression" button to display results. Each dataset will generate an output in the form of a summary table comprising of beta coefficients, p values, standard errors, log likelihood, residual deviance, null deviance, and AIC.

In the probability equation solver, insert values for independent variables in the input boxes to obtain probability of the event occurring. Click on the box for the independent variable you want to observe. This plots the probability distribution of the dependent variable with respect to that independent variable while keeping the remaining parameters fixed.