I used a statistical method called regression modeling to take a closer look at two important things: the stats about Logan International Airport and how full hotels were. These factors played the lead roles in our study, helping us understand how they influence economic indicators.
By digging into the numbers, I didn’t just learn about the direct impact of transportation and hotels on the economy. I also uncovered hidden connections that, when pieced together, paint a complete picture of how these factors shape the larger economic scenario. This deep dive into the data gave us valuable insights and helped me grasp the complex forces that drive economic trends. It was a reminder of how crucial it is to consider various factors when thoroughly analyzing data.
