This report analyzes the factors influencing home prices in California and compares home prices across four states: California, New York, New Jersey, and Pennsylvania. The data comes from the "HomesForSale" dataset, sourced from Lock5Stat (https://www.lock5stat.com/datapage3e.html). This dataset consists of 120 observations across 5 variables. The following questions that will be analyzed in this report are given to us in the directions for project #3: 1. Use the data only for California. How much does the size of a home influence its price? 2. Use the data only for California. How does the number of bedrooms of a home influence its price? 3. Use the data only for California. How does the number of bathrooms of a home influence its price? 4. Use the data only for California. How do the size, the number of bedrooms, and the number of bathrooms of a home jointly influence its price? 5. Are there significant differences in home prices among the four states (CA, NY, NJ, PA)? This will help you determine if the state in which a home is located has a significant impact on its price. All data should be used. By sequentially analyzing these questions, this report aims to reveal the factors that significantly influence home prices in California and identify price differences among states, highlighting both significant and non-significant relationships through analysis.

This report analyzes the data from a study of college students' sleep patterns.

This is my submission for Project #1 for STAT 353-54 Statistical Methods I for Engineering.