Logistics Regression Analysis: A highly popular and powerful classification method This assignment is to give

Logistics Regression Analysis: A highly popular and powerful classification method

This assignment is to give you the hands-on experience using R for conducting logistic regression in real world data set.

First, please refer to the Example 10.3 and 10.5 in Chapter 10 in the reference textbook (through the link at the bottom under "Lessons" of the left menubar) and the examples in Chapter 7 of Data Mining and Business Analytics with R for details about how to generate logistic regression models and the evaluate the model performances. Then open this Logistic regression analysis website, go over the Satisfaction example and use the same R codes to reproduce the results, study the way to explain the model and evaluate the results. This is to lay the foundation so you to work on the project using the Satisfaction2.csv dataset shown below.

So to complete your assignment, please open this file Satisfaction2.csv (slightly different from the sample dataset) and repeat the same analysis as in the website to conduct a logistic regression analysis to complete the assignment 3. Please copy/paste screen images of your work in R, and put into a Word document for submission. Be sure to provide narrative of your answers, i.e., do not just copy/paste your answers without providing some explanation of what you did or your findings. Please include Introduction, R codes with outputs, Figures and explanations with cover and reference pages. A good conclusion to wrap up the assignment is also expected. Please follow APA formats as well.

Hints:

• Use getwd(), setwd() and dir() to save and retrieve dataset in R with much convenience
• Don't forget to use install.packages("") for prediction or ROCR if that packages are not installed

Reference

https://www.kaggle.com/arpina/logistic-regression-analysis/notebook