Question

The following data represents number of customers arriving at Quick Lube for an oil change between...

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

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