Develop a Logistic Regression Model to Predict - Engineering Assignment Help

Assignment Task :

A wine connoisseur has decided to analyze whether there are differences in acidity. tannins. and alkalinity between white wines and red wines. Let X I co nespond to acidity. X2 correspond to tannins. and X3 correspond to alkalinity. Use the accompanying data WineLogiffinalt to complete parts (a) through (c) below. Variahladrolumm: Red Or White Acidity Tannins Alkalinity 
a. Develop a logistic regression model to predict whether the wine is Red or White based on the acidity, tannins, and alkalinity levels. What is the pseudo-RA2 value of the model and how is it interpreted?

b. At the 0.01 level of significance, is there evidence that the logistic regression model developed in (a) is a good fitting model?

c. Make a confusion matrix to check how often your model predicts the correct wine type and the percentage of wrong predictions.

d. Using the best model possible. predict the probability that a wine is red if it has a acidity of 8.2. tannins of 0.03. and alkalinit., nr 3  

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