Background: For quite a long time, I have been interested in why advertising is so crucial for big to medium fast-food companies and why there seems to be so much time, effort, and money pushed into such endeavors. This project provided me an opportunity to look more into the topic since I always needed more time to do so myself. The data I am using is the Fast-Food Marketing Campaign A\B Test , which essentially took three marketing methods and recorded data for various fast-food restaurants varying in size, location, and age. Problem: The problem or thing that is being addressed by me and the data is the question of these three marketing campaigns, which is most effective now. This could go further than I will be as you could also include the size of the restaurant's market, the establishment's location, the age, and add in the weeks and each week's financial gain. I decided to stick with just the different methods and campaign strategies...
q.c) I notice that, first of all, the smoothed model seems to lag behind the original model causing the scale to shift for the x-axis. Then there is the fact that its high alpha level means it must be pulling from majority of recent values rather than old ones. While the shape seems to be generally similar, the smoothed model's slope seems more steep/extreme.