b) Using 3 day Moving Average, how many customers would you forecast for Day 7? 36.33 c) Using Exponential Smoothing with alpha = .3, how many customers would you forecast for Day 7? (hint: use Actual Value for period 1 as period 2 forecast) 35.64 d) If the actual # of customers for period 7 was 38, 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 b) Using 3 day Moving Average, how many customers would you forecast for Day 7? 36.33 c) Using Exponential Smoothing with alpha = .3, how many customers would you forecast for Day 7? (hint: use Actual Value for period 1 as period 2 forecast) 35.64 d) If the actual # of customers for period 7 was 38, 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