Based on the five forecasting methods( naive, moving averages, exponential smoothing, simple regression, linear regression)
1. extract 16 quarterly revenue data from a 10K report,
2. calculate quarterly seasonal relative indexes,
3. de-seasonalize (standardize) all collected data,
4. make standardized forecasts based on five different methods describe in the textbook,
5. re-seasonalize all standardized forecasts,
6. calculate MAD of each forecast,
7. determine the best forecast method,
8. draw Actual Data vs Deseasonalize Data graph,
9. draw Actual Data vs the best Forecast Data graph.
