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.

I need help interpreting the data in the MLR to justify an answer.

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.935824078327746 0.875766705577976 80.12% 8.30945320994483 17 ANOVA df Regression Residual Total SS 6 4867.380767635 10 690.4701264826 16 5557.850894118 Coefficients 35.639501782939 -0.003212851725446 0.299650003331202 16.5948178712459 2.91208170566033 -0.889805486090185 -2.52743805337715 Intercept Rent (in City Centre) Monthly Pubic Trans Pass Loaf of Bread Milk Bottle of Wine (mid-range) Coffee MS 811.23012793917 69.0470126482625 Standard Error t Stat 15.41876932765 2.31143621294275 0.00397481304 -0.808302602760938 0.076964050927 3.89337618956553 6.713301249213 2.47193105972896 1.989411460091 1.46379055518604 0.740190296464 -1.20213070928033 6.484555357668 -0.389762738379325 RESIDUAL OUTPUT Observation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Predicted Cost of Living Index 34.3260713681429 53.2165605253095 49.4143612148839 58.6361178497478 73.0844953758377 86.502560026466 75.8921691572538 67.7257781049222 90.5199607050797 81.073587314824 83.8056463253306 80.0251039099988 82.4162431846462 97.7565481073786 87.7399392431234 86.8166829102756 94.3681746767793 Residuals -2.58607136814 -2.26656052531 -3.96436121488 4.423882150252 5.105504624162 -3.05256002647 6.307830842746 -0.97577810492 -16.4599607051 8.866412685176 9.134353674669 -8.37510391 3.483756815354 2.243451892621 3.040060756877 1.113317089724 -6.03817467678 Standard Residuals -0.393666129814265 -0.345028416841072 -0.603477056307946 0.673427882268702 0.777188236528109 -0.464677621216451 0.960213003390629 -0.148538356231858 -2.5056265296796 1.3496945251035 1.39048198891903 -1.27490477782491 0.53031678847257 0.34151069257883 0.462774913060223 0.169475303491965 -0.919164445897414 F Significance F 11.748953312 0.00049962995 P-value 0.0434011406 0.4377227847 0.0029930715 0.0329955879 0.1739643111 0.2570060814 0.7048842587 City Mumbai Prague Warsaw Athens Rome Seoul Brussels Madrid Vancouver Paris Tokyo Berlin Amsterdam New York Sydney Dublin London Lower 95% Upper 95% Lower 95.0% 1.28434279419 69.994660772 1.2843427942 -0.0120692871 0.0056435836 -0.0120692871 0.12816341125 0.4711365954 0.1281634113 1.63665053279 31.55298521 1.6366505328 -1.5206032612 7.3447666725 -1.5206032612 -2.5390522435 0.7594412713 -2.5390522435 -16.975927784 11.921051677 -16.975927784 Upper 95.0% 69.994660772 0.0056435836 0.4711365954 31.55298521 7.3447666725 0.7594412713 11.921051677 City Mumbai Prague Warsaw Athens Rome Seoul Brussels Madrid Vancouver Paris Tokyo Berlin Amsterdam New York Sydney Dublin London mean median min max Q1 Q3 New York Cost of Living Index 31.74 50.95 45.45 63.06 78.19 83.45 82.2 66.75 74.06 89.94 92.94 71.65 85.9 100 90.78 87.93 88.33 75.49 82.2 31.74 100 66.75 88.33 100 Rent (in City Centre) $1,642.68 $1,240.48 $1,060.06 $569.12 $2,354.10 $2,370.81 $1,734.75 $1,795.10 $2,937.27 $2,701.61 $2,197.03 $1,695.77 $2,823.28 $5,877.45 $3,777.72 $3,025.83 $4,069.99 $2,463.12 $2,354.10 $569.12 $5,877.45 $1,695.77 $2,937.27 $5,877.45 Monthly Pubic Trans Pass $7.66 $25.01 $30.09 $35.31 $41.20 $50.53 $57.68 $64.27 $74.28 $85.92 $88.77 $95.34 $105.93 $121.00 $124.55 $144.78 $173.81 $78.01 $74.28 $7.66 $173.81 $41.20 $105.93 $121.00 Loaf of Bread $0.41 $0.92 $0.69 $0.80 $1.38 $2.44 $1.66 $1.04 $2.28 $1.56 $1.77 $1.24 $1.33 $2.93 $1.94 $1.37 $1.23 $1.47 $1.37 $0.41 $2.93 $1.04 $1.77 $2.93 Milk $2.93 $3.14 $2.68 $5.35 $6.82 $7.90 $4.17 $3.63 $7.12 $4.68 $6.46 $3.52 $4.34 $3.98 $4.43 $4.31 $4.63 $4.71 $4.34 $2.68 $7.90 $3.63 $5.35 $3.98 Bottle of Wine (mid-range) $10.73 $5.46 $6.84 $8.24 $7.06 $17.57 $8.24 $5.89 $14.38 $8.24 $17.75 $5.89 $7.06 $15.00 $14.01 $14.12 $10.53 $10.41 $8.24 $5.46 $17.75 $7.06 $14.12 $15.00 Coffee $1.63 $2.17 $1.98 $2.88 $1.51 $1.79 $1.51 $1.58 $1.47 $1.51 $1.49 $1.71 $1.71 $0.84 $2.26 $2.06 $1.90 $1.76 $1.71 $0.84 $2.88 $1.51 $1.98 $0.84