Discriminant analysis is a technique to classify observations into different groups. Here, we will use a linear discriminant function to predict the outcome of the battles in World War II. The example for this data is based on the study Discriminant Analysis: A Case Study of a War Dataset by Dr Nikolaos V. Karadimmas, M. Chalikias, G Kaimakais, and M Adam. This can be found at the following link for more details:

http://www.academia.edu/193503/Discriminant_Analysis_-_a_case_study_of_a_war_data_set

Wikipedia was used as a source to obtain the data in the worksheet. We should verify the correctness of this before drawing conclusions from the dataset.

Here, we will obtain the troop and tank ratios for each battle from the calculator before constructing the linear discriminant function as a method to predict the outcome of the battle.

Getting ready

Enter the results into the worksheet, as shown in the following screenshot:

These figures are also included in the World War...