Georgia Tech Bank (GT Bank) just hired you as a consultant, to help them better understand their business. On your first day, you decide to use the "Credit" dataset from the ISLR package, as a proxy, to answer questions about their customer base. Use the "Credit" dataset from the ISLR package, drop the ID column, and model the data (linear-linear model) such that Balance is your dependent variable and the rest of the features (Income, Limit, Rating, Cards, Age, Education, Gender, Student, Married, and Ethnicity) are your independent variables. Use your model to answer questions Q1 through Q6. Data Dictionary for the "Credit" Dataset: 1. Balance: This is the average credit card balance in dollars for each individual. 2. Income: The annual income of the individual in thousands of dollars. 3. Limit: The credit limit on the individual's credit card. 4. Rating: The individual's credit rating. 5. Cards: The number of credit cards owned by the individual. 6. Age: The age of the individual. 7. Education: The highest level of education completed by the individual. 8. Gender: The gender of the individual (e.g., "Male" or "Female"). 9. Student: Indicates whether the individual is a student (e.g., "Yes" or "No"). 10