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 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

City Cost of Living Index Rent (in City Centre) Monthly Pubic Trans Pass Loaf of Bread Milk Bottle of Wine (mid-range) Coffee Mumbai 31.74 $1,642.68 $7.66 50.41 $2.93 $10.73 $1.63 Prague 50.95 $1,240.48 $25.01 $0.92 $3.14 $5.46 $2.17 Warsaw 45.45 $1,060.06 $30.09 50.69 $2.68 56.84 $1.98 Athens 63.06 $569.12 $35.31 $0.80 $5.35 $8.24 $2.88 Rome 78.19 $2,354.10 $41.20 $1.38 $6.82 $7.06 $1.51 Seoul 83.45 $2,370.81 $50.53 $2.44 $7.90 $17.57 $1.79 Brussels 82.2 $1,734.75 $57.68 $1.66 $4.17 $8.24 $1.51 Madrid 66.75 $1,795.10 $64.27 $1.04 $3.63 $5.89 $1.58 Vancouver 74.06 $2,937.27 $74.28 $2.28 $7.12 $14.38 $1.47 Paris 89.94 $2,701.61 $85.92 $1.56 $4.68 58.24 $1.51 Tokyo 92.94 $2,197.03 $88.77 $1.77 $6.46 $17.75 $1.49 Berlin 71.65 $1,695.77 $95.34 $1.24 $3.52 $5.89 $1.71 Amsterdam 85.9 $2,823.28 $105.93 $1.33 $4.34 $7.06 $1.71 New York 100 $5,877.45 $121.00 $2.93 $3.98 $15.00 $0.84 Sydney 90.78 $3,777.72 $124.55 $1.94 $4.43 $14.01 $2.26 Dublin 87.93 $3,025.83 $144.78 $1.37 $4.31 $14.12 $2.06 London 88.33 $4,069.99 $173.81 $1.23 $4.63 $10.53 $1.90 mean 75.49 $2,463.12 $78.01 $1.47 $4.71 $10.41 $1.76 median 82.2 $2,354.10 $74.28 $1.37 $4.34 $8.24 $1.71 min 31.74 $569.12 $7.66 $0.41 $2.68 $5.46 $0.84 max 100 $5,877.45 $173.81 $2.93 $7.90 $17.75 $2.88 01 66.75 $1,695.77 $41.20 $1.04 $3.63 $7.06 $1.51 03 88.33 $2,937.27 $105.93 $1.77 $5.35 $14.12 $1.98 New York 100 $5,877.45 $121.00 $2.93 $3.98 $15.00 50.84