Smartphone Market Analysis

Authors

• Olivia Santos, University of Central FloridaFollow
• Maksudul Hasan, University of Central FloridaFollow
• Wyatt Wetzler, University of Central FloridaFollow
• Lucia Diaz, University of Central FloridaFollow

Streaming Media

Files

Course Code

STA

Course Number

4164

Faculty/Instructor

Professor Nathaniel Simone

Faculty/Instructor Email

nathaniel.simone@ucf.edu

About the Author

Our names are Olivia, Lucia, Maksudul, and Wyatt. We are Statistics III students.

Abstract, Summary, or Creative Statement

For the main research, an argument regarding market analysis was developed. A dataset was selected containing information on the smartphone industry, including meaningful variables such as brand, price range, RAM, and others. The objective is to predict the price of a smartphone based on significant variables. We performed exploratory data analysis, model diagnostics, and model selection using techniques we learned in our Statistics III course. Real-world data is never perfect or easy to work with and this was evident during our project. Some key things we learned are data cleaning, the process of multi-linear regression, and how to work as a group. This project allowed for hands-on experience in statistical research.

Additional Resources

Works Cited

• Merino, Juan. “Smartphones Price Dataset.” Kaggle, 18 Apr. 2024, www.kaggle.com/datasets/juanmerinobermejo/smartphones-price-dataset/data.

• “Microsoft Power Automate – Process Automation Platform.” Microsoft, www.microsoft.com/en-us/power-platform/products/power-automate#FAQ. Accessed 12 Mar. 2025.

• Pccomponentes.Com | Tienda de Informática y Tecnología Online, www.pccomponentes.com/. Accessed 12 Mar. 2025.

Keywords

Statistics; Regression; Phones; Smartphones; Price

Recommended Citation

Santos, Olivia; Hasan, Maksudul; Wetzler, Wyatt; and Diaz, Lucia, "Smartphone Market Analysis" (2025). High Impact Practices Student Showcase Spring 2025. 46.
https://stars.library.ucf.edu/hip-2025spring/46