IE 330 – Engineering Analytics Mini Project – IV Pennsylvania State University - IE 330IE330 Mini project 4

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IE 330 – Engineering Analytics Mini Project – IV NAME: Neela Lohith Reddy Gandluru (Due date: 03/30/2018) Please use the assignment page as the cover page of your homework submission. Please... submit and upload your solutions as a single PDF file to the CANVAS website. Please DO NOT submit through emails or hardcopies. Email and hardcopy submission will NOT be accepted and graded. Late submission will not be accepted. *Note: This is an individual project. No collaboration is allowed. The following data set and background descriptions are from UCI Machine Learning Repository. Predicting Red Wine Quality Given the “redwine” dataset (on Canvas), perform logistic regression in R and answer the following questions: Data dictionary: Predictor variables (based on physicochemical tests): 1 - fixed acidity 2 - volatile acidity 3 - citric acid 4 - residual sugar 5 - chlorides 6 - free sulfur dioxide 7 - total sulfur dioxide 8 - density 9 - pH 10 - sulphates 11 - alcohol Response variable (based on sensory data): [Show More]

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