I have two years of data - I want to forecast how the 2nd year of traffic will behave based off the previous year of data.
The x axis is time, where left -> right is moving forward in calendar year
What is the best model for forecasting here? Would it be a simple polynomial regression fitted with 2017 data, and then applied to 2018? Or is a time-series approach better here?
I want to choose an approach that best preserves the weekly cyclic nature of traffic, while capturing the overall shape of the curve.