Question

This question requires using Rstudio. This is following commands to install and import data into R:

> install.packages("ISLR")
> library(ISLR)
> data(Wage)

The required data installed and imported, now this is description of the data:

This dataset contains economic and demographic data for 3000 individuals living in the mid-Atlantic region. For each of the
3000 individuals, the following 11 variables are recorded:

year: Year that wage information was recorded
age: Age of worker
maritl: A factor with levels 1. Never Married 2. Married 3. Widowed 4. Divorced and 5.
Separated indicating marital status
race: A factor with levels 1. White 2. Black 3. Asian and 4. Other indicating race
education: A factor with levels 1. < HS Grad 2. HS Grad 3. Some College 4. College Grad
and 5. Advanced Degree indicating education level
region: Region of the country (mid-atlantic only)
jobclass: A factor with levels 1. Industrial and 2. Information indicating type of job
health: A factor with levels 1. <=Good and 2. >=Very Good indicating health level of worker
health ins: A factor with levels 1. Yes and 2. No indicating whether worker has health insurance
logwage: Log of workers wage
wage: Workers raw wage

This question continues with the Wage dataset.
(a) Create a binary variable, wage150, that contains a 1 if wage contains a value above
150, and a 0 if wage contains a value below 150.
(b) Fit a logistic regression model on the training data with the response variable being
wage150 and predictor variables being year, age, and education.

Please provide all necessary codes using Rstudio.

Answer 1

The rcode and the output of the confusion matrix has been provided.