This is a graph of revenues for different products with the Y-axis showing normalized revenues (mean of 3 and SD of 1) and X-axis is weeks. I need do a regression analysis of sorts on this data and am unsure how to find a curve/function in R that fits this data.
The data points can be interpreted as being: Week 0 of product release yield normalized revenues between 2.25 to 3.25, etc.
Any help regarding what kind of statistical analysis I can use to create a regression model (linear and logistic wouldn't work clearly) with the end goal being to do predictive analysis (ie. if a new product is released, what normalized revenues would it yield in the first 6 weeks)