Website below:

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

A successful New York City marketing firm wants to expand abroad. The CEO and VP of Operations hire your consulting firm to collect data and assess market trends.

You're Mercer HR. The Mercer Human Resource Consulting website shows item costs in selected cities worldwide. Each city's cost-of-living index is compared to NYC's. London costs 88.33, 11.67% less than NYC.

Specifically, the website has lots of fun and intriguing information. After the course, explore the website.

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

Assignment Guidance:

The Excel file contains 2018 Cost of Living data for 17 cities. The 2018 cost of living index, monthly cost of a 3-bedroom apartment, monthly transportation pass, mid-range bottle of wine, 1-lb loaf of bread, gallon of milk, and 12-oz black coffee are included. All prices are USD.

This data is used to predict cost of living using Multiple Linear Regression and descriptive statistics. The Excel result shows the calculated MLR. Interpret the data.

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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.

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 3^rd quartile?