Determine a rapidly growing MSA

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Reference no: EM131883007

PROJECT 

Situation:

You are an officer in a rapidly growing fast food company. The company is looking to break into new Markets in Metropolitan Statistical Areas (MSA's) in the United States. Your job is to determine a rapidly growing MSA and recommend it as a prime location for new restaurants.

Under MSA, examine the MSA's beginning with the letter(s):

Choose 5 of the MSA's

Using techniques we will learn in Chapter 5, you will predict the population for each MSA in 2016 and determine the percentage increase over the 2015 value. Your recommendation will be based on this. More details later, after we cover chapter 5.

Your proposal should rehash this, and include your 5 selected MSA's

Predict the 2016 value using:
1: a five year moving average
2: a ten year moving average
3: exponential smoothing, with the best alpha used
4: simple linear regression
5: the naive method

For each prediction, compute the percentage increase over the 2015 value

Evaluate the predictions using the MAD, and choose the best method.

The Best site is the one with the highest percentage increase, derived from the best method. Which MSA do you choose and why?

Attachment:- Download Population Data.rar

Verified Expert

This task mainly focus on the various forecasting methods. Here, we are comparing five forecasting method and the best method was selected based on the mean absolute deviation of each method. Here, we wish to predict the population for each MSA in 2016. For the purpose of this study, we randomly selected five MSA’s, namely Rayleigh, Riverside-San Bernardino, Rochester, St. Louis and San Francisco-Oakland

Reference no: EM131883007

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len1883007

2/28/2018 4:50:30 AM

Project Due: 2/27 Excel or word or PowerPoint 5 Cities For each data Data 5 predication 1) 5yrs Average MAD 2) 10 yr Average MAD 3) something best MAD 4) Linear Reg – MAD 5) Naïve method – MAD Each will have MAD (Pick the smallest) Best predication One prediction per city (MSA) For each MSA compute 2011 predication 2015 value 2015 value

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