This repository contains assignments for IDS702 Modeling and Representation of Data at Duke.

There are 4 individual assignments and 1 group project of modeling and analyzing data using R programming language.

Assignment 1 --- Linear Regression Model

1. Predicting respiratory rates from age
2. Understand how certain factors influence the price of a Airbnb listing

Assignment 2 --- Mutiple Linear Regression Model

1. Old Faithful Geyser in Yellowstone National Park and its eruptions Predicting the interval between eruptions from the duration of the previous one. Predicting interval from duration and day
2. Maternal smoking during pregnancy (MSDP) and newborn weights

Assignment 3 --- Logistic Regression Model

• Predicting win or loss of an NBA game

Assignment 4 --- GLM: Multinomial Logistic Regressin, Proportional Odds Model

• Explore which services are worth investing in to improve customer satisfaction for LaneAir.

This project examines how the ride sharing industry, particularly Uber and Lyft, operates in the United States and how the ride prices and customer’s choice of ride are affected by multiple factors like ride’s distance, time, and weather.

• Using the multiple linear regression model, this project analyses how ride prices for Uber and Lyft are affected by different factors related to the ride.

• Employing the logistic regression model to predict how consumer’s decision of selecting Uber as their ride of choice is affected by other factors.