Problem statement:
Perform discriminant analysis on the results of measuring the length and width of iris flowers (SEPALLEN, SEPALWD, PETALLEN, PATELWD); identify the type of iris (SETOSA, VERSICOL, VIRGINIC) using Statistica software.
Data for the research:
As a Grouping Variable, we choose IRISTYPE.
As Independent Variables, we choose SEPPALEN, SEPALWD, PETALLEN, PETALWD.
The results of discriminant analysis:
Number of variables in the model = 4;
Wilks’ Lambda = 0.0234
Approximate value of the F-statistics = 199.1454
The final table of data analysis:
The separation of the three types of iris:
Classification functions built stepwise using the forward method:
Mahalanobis distance:
Posterior probability table:
Classification functions built using the standard method:
As we can see, the classification functions built using the standard method and classification functions built stepwise using the forward method are identical:
Forward method:
Standard method:
It means that our research has been done correctly.
Thanks for your attention!
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