The following data represents number of customers arriving at Quick Lube for an oil change between 9 and 11 AM over the past 6 days.
|
Day |
1 |
2 |
3 |
4 |
5 |
6 |
|
Customers |
21 |
22 |
20 |
22 |
23 |
24 |
Round all answers to 2 Decimal Places
a) Using the Naïve Method, how many customers would you forecast for Day 7?
b) Using 3 day Moving Average, how many customers would you forecast for Day 7?
c) Using Exponential Smoothing with alpha = .2, how many customers would you forecast for Day 7? (hint: use Actual Value for period 1 as period 2 forecast)
d) If the actual # of customers for period 7 was 25, compute the MAD statistic for each method (parts a, b and c) using periods 4, 5, 6 and 7 as data points.
Compute MAD for all three Methods:
Naive Method:
3-Day Moving Average:
Exponential Smoothing:
e) Which method produces the best forecasts for Quick Lube?
Enter either (enter Exactly as displayed - copy and paste your answer):
Naive, 3-Day or Exponential
The following data represents number of customers arriving at Quick Lube for an oil change between...