{"id":11927,"date":"2024-02-16T19:53:39","date_gmt":"2024-02-16T19:53:39","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/write-up-an-executive-summary-on-what-city-you-chose-to-open-a-second-location-in-and-justify-the-results\/"},"modified":"2024-02-16T19:53:39","modified_gmt":"2024-02-16T19:53:39","slug":"write-up-an-executive-summary-on-what-city-you-chose-to-open-a-second-location-in-and-justify-the-results","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/write-up-an-executive-summary-on-what-city-you-chose-to-open-a-second-location-in-and-justify-the-results\/","title":{"rendered":"write up an Executive Summary on what city you chose to open a second location in and justify the results."},"content":{"rendered":"<p style=\"margin-bottom: 15pt; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Final<br \/>\nProject Assignment Instructions<\/span><\/b><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 18pt; cursor: auto; color: inherit;\"><\/span><\/b><\/p>\n<p style=\"margin: 14.25pt 0in; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Scenario<br \/>\nBackground:<\/span><\/b><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/b><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">A marketing company based out of New<br \/>\nYork City is doing well and is looking to expand internationally. The CEO and<br \/>\nVP of Operations decide to enlist the help of a consulting firm that you work<br \/>\nfor, to help collect data and analyze market trends.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">You work for Mercer Human Resources.<br \/>\nThe&nbsp;<a style=\"cursor: auto;\"><span style=\"cursor: auto; color: inherit;\">Mercer Human Resource Consulting website<\/span><\/a>&nbsp;lists<br \/>\nprices of certain items in selected cities around the world. They also report<br \/>\nan overall cost-of-living index for each city compared to the costs of hundreds<br \/>\nof items in New York City (NYC). For example, London at 88.33 is 11.67% less<br \/>\nexpensive than NYC.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">More specifically, if you choose to<br \/>\nexplore the website further you will find a lot of fun and interesting data.<br \/>\nYou can explore the website more on your own after the course concludes.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\"><a style=\"cursor: auto;\"><span style=\"cursor: auto; color: inherit;\">https:\/\/mobilityexchange.mercer.com\/Insights\/<br \/>\ncost-of-living-rankings#rankings<\/span><\/a><\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 14.25pt 0in; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Assignment<br \/>\nGuidance:<\/span><\/b><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/b><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">In the Excel document, you will find<br \/>\nthe 2018 data for 17 cities in the data set Cost of Living. Included are the<br \/>\n2018 cost of living index, cost of a 3-bedroom apartment (per month), price of<br \/>\nmonthly transportation pass, price of a mid-range bottle of wine, price of a<br \/>\nloaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup<br \/>\nof black coffee. All prices are in U.S. dollars.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">You use this information to run a<br \/>\nMultiple Linear Regression to predict Cost of living, along with calculating<br \/>\nvarious descriptive statistics. This is given in the Excel output (that is, the<br \/>\nMLR has already been calculated. Your task is to interpret the data).<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Based on this information, in which<br \/>\ncity should you open a second office in? You must justify your answer. If you<br \/>\nwant to recommend 2 or 3 different cities and rank them based on the data and<br \/>\nyour findings, this is fine as well.<\/span><\/b><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 14.25pt 0in; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Deliverable<br \/>\nRequirements:<\/span><\/b><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/b><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">This should be \u00be to 1 page, no more<br \/>\nthan 1 single-spaced page in length, using 12-point Times New Roman font. You<br \/>\ndo not need to do any calculations, but you do need to pick a city to open a<br \/>\nsecond location at and justify your answer based upon the provided results of<br \/>\nthe Multiple Linear Regression.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">The format of this assignment will be<br \/>\nan Executive Summary. Think of this assignment as the first page of a much<br \/>\nlonger report, known as an Executive Summary, that essentially summarizes your<br \/>\nfindings briefly and at a high level. This needs to be written up neatly and<br \/>\nprofessionally. This would be something you would present at a board meeting in<br \/>\na corporate environment. If you are unsure of an Executive Summary, this<br \/>\nresource can help with an overview.&nbsp;<a style=\"cursor: auto;\"><span style=\"cursor: auto; color: inherit;\">How to Write an Executive Summary That<br \/>\nGets the Job Done 2023.pdf<\/span><\/a><\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<p style=\"margin: 14.25pt 0in; line-height: normal; cursor: auto; color: inherit;\"><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Things to<br \/>\nConsider:<\/span><\/b><b style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/b><\/p>\n<p style=\"margin: 6pt 0in 12pt; line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">To help you make this decision here<br \/>\nare some things to consider:<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/p>\n<ul style=\"cursor: auto; color: inherit;\">\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Based on the<br \/>\n     MLR output, what variable(s) is\/are significant?<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">From the<br \/>\n     significant predictors, review the mean, median, min, max, Q1 and Q3<br \/>\n     values?<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<ul style=\"cursor: auto; color: inherit;\">\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">It might be<br \/>\n      a good idea to compare these values to what the New York value is for<br \/>\n      that variable. Remember New York is the baseline as that is where<br \/>\n      headquarters are located.<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<\/ul>\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">Based on the<br \/>\n     descriptive statistics, for the significant predictors, what city has the<br \/>\n     best potential?<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<ul style=\"cursor: auto; color: inherit;\">\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">What city<br \/>\n      or cities fall are below the median?<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<li style=\"line-height: normal; cursor: auto; color: inherit;\"><span style=\"font-size: 12pt; cursor: auto; color: inherit;\">What city<br \/>\n      or cities are in the upper 3<sup style=\"cursor: auto; color: inherit;\">rd<\/sup>&nbsp;quartile?<\/span><span style=\"font-size: 14.5pt; cursor: auto; color: inherit;\"><\/span><\/li>\n<\/ul>\n<\/ul>\n<p style=\"cursor: auto; color: inherit;\">&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[8],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/11927"}],"collection":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/comments?post=11927"}],"version-history":[{"count":0,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/11927\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/media?parent=11927"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/disciplines?post=11927"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/paper_types?post=11927"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/tagged?post=11927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}