Assignments

Assignment #1: Exploring Demand Data

Chap 2: Prob 5 
Chap 3: Prob 1 
Chap 9.1: Tips & Suggested Steps 1-4 

In this assignment you will create visualizations of time series, characterize the different patterns in the series and consider how to evaluate predictive performance. You will also get experience with Tableau/Spotfire and XLMiner.

Assignment 2: Forecasting Sales Using Smoothing

Chapter 6: Problem 8
Chap 9.1: Tips & Suggested Steps 5-6 and answer the following question:
  • How can exponential smoothing be fitted to the series, given the inter-day and intra-day cycles? Write the type of method(s), its components and the number of seasons to use.
In this assignment you will use smoothing methods for generating forecasts of wine sales.

Assignment 3: Forecasting Traffic Using Regression

Chapter 5: Problem 1
Chapter 5: Problem 4 
Chapter 9.1 - answer the following question:
  • How can a regression model be fitted to the demand series, given the inter-day and intra-day cycles? Mention the response (Y) and predictor variables (X’s) in your suggested regression model. 

In this assignment, you will investigate the effect of an event on a time series by generating pre-event forecasts using linear regression. 

You will use linear regression to capture patterns such as trend and seasonality, and gain experience using XLMiner for generating regression-based forecasts.

Download September 11 Travels from ForecastingBook.com/datasets