The table below shows quarterly sales of a product from 2011 to 2015. The company wants to
Question:
The table below shows quarterly sales of a product from 2011 to 2015. The company wants to make a sales forecast for Q1 of 2016. Consider the following methods:
- Six-period moving average
- Simple exponential smoothing, alpha = 0.8 and initial estimate of $14.81 millions
- Linear regression with trend and binary variables for seasonality
Year | Quarter | Sales ($ million) |
2011 | Q1 | 14.81 |
2011 | Q2 | 14.49 |
2011 | Q3 | 14.87 |
2011 | Q4 | 14.81 |
2012 | Q1 | 14.54 |
2012 | Q2 | 14.40 |
2012 | Q3 | 14.59 |
2012 | Q4 | 14.95 |
2013 | Q1 | 14.70 |
2013 | Q2 | 14.65 |
2013 | Q3 | 14.40 |
2013 | Q4 | 14.45 |
2014 | Q1 | 14.81 |
2014 | Q2 | 14.47 |
2014 | Q3 | 15.07 |
2014 | Q4 | 14.79 |
2015 | Q1 | 14.45 |
2015 | Q2 | 14.48 |
2015 | Q3 | 14.81 |
2015 | Q4 | 14.64 |
Question 1: Which method should be used? Why?
Question 2: Based on your answer in part A), what is the sales prediction for Q1, 2016?
Question 3: How accurate do you expect the forecast in part B) to be? Use appropriate measure(s) to support your answer.
Statistics for Business and Economics
ISBN: 978-0132930192
8th edition
Authors: Paul Newbold, William Carlson, Betty Thorne