What This Document Is
This document represents the second part of Homework One for the Data Analytics in Business (MGT 6203) course at Georgia Institute of Technology. It focuses on applying multiple linear regression techniques to an Airbnb dataset. The assignment requires students to build and interpret a regression model to understand factors influencing Airbnb listing prices.
Why This Document Matters
This homework is intended for students enrolled in MGT 6203 who are learning to apply statistical modeling to business problems. It’s used to assess their ability to implement linear regression in a practical context, specifically analyzing real-world data to identify key price determinants. It builds upon foundational data analysis skills.
Common Limitations or Challenges
This document is a student assignment and does *not* provide a comprehensive tutorial on linear regression. It assumes prior knowledge of the technique and focuses on its application to a specific dataset. It also only presents the problem statement and initial code setup; the completed analysis and answers are not included.
What This Document Provides
The document includes:
- The assignment prompt for the second part of Homework One.
- Code snippets for loading and initially exploring the Airbnb dataset using R.
- Data cleaning steps, including removing ID columns and formatting the ‘price’ variable.
- An attempt to run a linear regression model, along with associated warnings.
- A table summarizing the dataset's variables.
This preview *does not* include the full regression analysis, interpretation of results, or identification of statistically significant variables. It also does not include the final, corrected code or the student’s completed answers.
