Auto1 coding challenge

Reference: the data (Auto1-DS-TestData.csv) is also available here.

Objectives: to build a statistical model that best predicts the price of cars that's in the best interest of Auto1's business.

Workflow (main steps): the analysis was performed using the R version 3.5.0 (2018-04-23):

1. Question 1 (10 Points)
2. Question 2 (10 Points)
3. Question 3 (20 Points): I. Data Handling; II. Exploratory Analysis; III. Fitting Models; IV. Model Comparison; V. Variable Importance; VI. Save Workspace.
4. Question 4 (60 Points)

Used the following R packages:

• caret
• psych
• corrplot
• pander

Contains the following files:

1. Auto1DSChallenge_TenzinNyima_27082018.R: complete R script.
2. Auto1DSChallenge_TenzinNyima_27082018.Rmd: R markdown script.
3. Auto1DSChallenge_TenzinNyima_27082018.html: an HTML report with answers to all four questions as well as the complete script.