Week 5 report | statistics for research methods II

Instructions

Download GAD.xlsx data set here. It shows graduate program admission decisions (Yes: 1 and No: 2), GRE score and undergraduate GPA for twenty-five students.

Tasks:

Examine if the given data is suitable for the application of linear discriminant analysis.
Create a linear discriminant function predicting admission decisions.
Comment on the classification accuracy.
Predict the admission decision given GRE score = 690 and GPA = 3.2.
Perform logistic regression analysis for the data.
Compare the classification accuracies of both methods.

Submission Details:

Submit a 3–4 page Microsoft Word document, using APA style.
The relevant Minitab output should be copied to this document.
Name your document BUS7205_W5_Project_LastName_FirstInitial.doc.

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