In Part 3, you will use your answers from parts 1 and two 2 to summarize your findings and provide recommendations based on the analytic interpretation of data and facts.

Question 3a (10 points):

. In terms of how you used each model, what was the difference in using Exponential Smoothing versus Linear Regression in assessing causation from the data and model calculations? In other words, what assessment information did each model provide you that the other did not?

Answer:

Question 3b (10 points): For the following, keep your answer to less than 150 words. Given the accuracy, percent error, and bias, which model provides the best forecast for period 19 and why?

Answer:

Question 3c (5 points): What is your forecast for period 19? Provide justification and/or rationale in terms of facts

Call Volume Forecast for period 19 (My forecast): _________________

Explanation and Justification of Your Forecast Method:

3d Summary (15 points): Provide process and/or method recommendations to allow Mark to provide the most accurate month-to-month forecast. Respond in terms of what he should do and what methods he should use.