Hide Assignment Information Turnitin® This assignment will be submitted to Turnitin®. Instructions Final Project Assignment Instructions Scenario Background: A marketing company based out of New York...

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Final Project Assignment Instructions


Scenario Background:


A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.


You work for Mercer Human Resources. TheMercer Human Resource Consulting websitelists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.


More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.



https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankings


Assignment Guidance:


In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.


You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data).


Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well.


Deliverable Requirements:


This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.


The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview.What is an Executive Summary?


Things to Consider:


To help you make this decision here are some things to consider:



  • Based on the MLR output, what variable(s) is/are significant?

  • From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?

    • It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.



  • Based on the descriptive statistics, for the significant predictors, what city has the best potential?

    • What city or cities fall are below the median?

    • What city or cities are in the upper 3rdquartile?




Answered 3 days AfterApr 17, 2021

Answer To: Hide Assignment Information Turnitin® This assignment will be submitted to Turnitin®. Instructions...

Suraj answered on Apr 21 2021
155 Votes
Assignment
Topic: MATH302 Final Project Description
Submitted To:
Submitted By:
Date:
Introduct
ion: A marketing company in New York are planning to expand their business internationally as their company is doing very good in New York. To do this task, our first task is to collect the data and provide correct instructions. We collected data from 17 different cities in the world and collect information for various variables.
Data set: There are total 17 rows in the data for different cities and 7 columns our of which cost of living index is our dependent variable.
Analysis: Our aim is to use the method of multiple linear regression to predict the cost of living index by using other explanatory variables.
The multiple linear regression model is built using the MS-Excel and the output is given as follows:
3)
Here, from the above output to check for significant predictors we can check this from p-value for a particular predictor variable. As level of...
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