SECTION $3($Logistic Regression using R$)(20$ points$)$

Employee Attrition Prediction

Scenario: You are an HR analyst in a large corporation, and you have been tasked with predicting employee attrition using historical data. The company is concerned about losing valuable employees and wants to proactively identify factors that contribute to attrition so that they can take preventive measures.

Dataset: Download EmployeeAtrrition data from project $4$ resources. The dataset includes information about employees, such as age, gender, education, job level, work environment satisfaction, job satisfaction, performance rating, years at the company, and whether the employee has left the company or not.

Model Building:

a$.$ Build a logistic regression model.

b$.$ Use relevant $($all except the EmployeeID$)$ features to predict the likelihood of employee attrition.

$2$

Prediction:

a$.$ Given an employee with Age$=30,$ Gender $=$ "Female", EducationField$=$"Marketing", JobSatisfaction$=4,$ YearsAtCompany$=1,$ will the employee leave?