Create a linear discriminant function predicting admission


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Instructions

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

Tasks:

o Examine if the given data is suitable for the application of linear discriminant analysis.

o Create a linear discriminant function predicting admission decisions.

o Comment on the classification accuracy.

o Predict the admission decision given GRE score = 690 and GPA = 3.2.

o Perform logistic regression analysis for the data.

o Compare the classification accuracies of both methods.

Format your assignment according to the following formatting requirements:

o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.

o The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.

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