Sometime, we are interested in explaining factors affecting binary outcomes. For example, in political poling respondents are often asked whether they support or against a bill proposed to the parliament. You may be interested to explain the pol results by demographic characteristic of the respondents. In such a case you can regress binary outcomes (agree or disagree) on several explanatory variables by using Probit or Logit methods.
For technical detail, you may refer to textbooks such as:
Green, W.H (2003), Econometric Analysis (5th edition). Prentice Hall.
Heij, C., de Boer, P., Franses, P.H., Kloek, T, and van Dijk, H.K. (2004), Econometric Methods with Applications in Business and Economics. Oxford University Press.
Hill, R.C., Griffiths, W.E., Lim, G.C. (2011), Principles of Econometrics (4th edition). John Willey and Sons.
Estimating Probit or Logit
The menu for binary regressions are very easy to access:
Step 1. Tap on the main menu and select Probit or Logit
Specify dependent variable, and explanatory variables
Step 3. Run and see the results
Note that the dependent variable has to be binary (1 and 0). For example, 1 is agree and zero otherwise. The other examples are: infected – not infected, buying – not buying, drop out – continue education, divorce – not divorce, etc. If the dependent variable is not binary, the Apps will prompt an error message.