Multiple Regression Analysis Project – In this example we try to predict a persons weekly streaming habits based upon multiple variables including Age, Salary, Race, Streaming Platforms etc. We analyze how each variable effects our final equation in each regression and what is skewing our data along the way.
Simple Time Series Forecasting – In this example we take a look at Apple’s revenue over the past 10 years and try to predict the next quarter using the best method out of naive, three period moving average, and 2 simple exponential smoothing with different alphas. We calculate bias, MAD, MAPE, and SE along the way and analyze findings to find the best method.
Simple Regression/Seasonality Forecasting – In this example we take another look at apple but with the goal of de-seasonalizing it and then later re-seasonalizing it to get a more accurate prediction of the next quarters revenue. We also examine why its important and the meaning of the seasonality index.
Beat The Streak With Me 