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Location ID Number ! Operating Margin Number Nearest Enrollment Income Distance Quality High Speed Internet Gym Operating Margin New 2801 39.3 3591 2.0 18.5 29

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Location ID Number ! Operating Margin Number Nearest Enrollment Income Distance Quality High Speed Internet Gym Operating Margin New 2801 39.3 3591 2.0 18.5 29 7.6 2 1 39.3 49.5 2608 49.5 2726 1.2 19.0 36 9.3 3191 49.0 2890 2.4 20.0 35 2.6 19.0 3210 45.1 2172 1.4 7.0 35 9.2 45.1 INNNINK 3701 41.9 3517 2.9 6.0 38 9.1 41.9 43.5 2910 1.4 12.5 35 1.8 13.5 2547 SAWANNNNWWW 2670 40.3 2848 2.5 19.0 30 8.4 40.3 2664 42.8 3003 2.2 19.5 39 12.0 42.8 2492 57.3 2601 3.1 18.5 39 11.0 57.3 H NI N N NN NN IN JAN N N 2649 52.1 3140 2.2 23.5 34 3. 52.1 3066 25.1 1613 1.7 21.5 29 4.1 2193 54.4 3234 3.2 19.5 39 8.3 54.4 2793 47.3 2761 3.4 16.0 39 6.6 47.3 A W 3620 57.4 2687 0.9 15.5 42 6.9 57.4 38.4 3264 2.7 22.5 29 10.4 38.4 2538 3730 56.5 2045 1.5 15.0 38 4.3 56.5 3120 35.2 3251 1.7 13.0 35 4.3 35.2 34 39.3 2389 39.3 3159 2.7 11.0 0.2 3053 47.3 2642 1.8 9.0 30 4.8 17.3 3304 44.2 3471 2.2 12.0 39 5.4 44.2 54.4 2756 3.2 14.5 39 7.9 54.4 3770 3380 51.5 3069 3.3 20.5 37 7.7 51.5 2795 46.2 2244 3.6 15.5 36 5.9 46.2 19.8 2315 49.8 2859 1.7 14.5 39 3.0 JHINNNNN NNPINK 41.1 3098 2.3 11.5 34 7.7 41.1 2682 2789 51.1 3227 1.9 11.0 37 6.0 51.1 2847 52.2 2879 2.1 19.5 36 2.9 52.2 WWWWN HW AWNNWWWNWWWAWWNPAN 2372 49.9 3255 2.2 22.5 36 8.7 19.9 3349 39.8 3823 3.6 17.0 38 4.8 39.8 3704 43.5 3198 1.8 17.0 36 4.6 43.5 2872 45.4 2443 0.1 10.5 36 7.5 45.4 2570 58.5 2210 2.7 17.5 35 2.7 58.5 2956 46.0 2655 1.1 22.0 34 8.1 16.0 3098 81.5 4214 2.4 16.0 34 5.6 41.0 3480 1.9 18.0 31 11.0 41.0 3256 2486 46.0 2341 2.3 23.0 29 7.4 46.0 NNNNNPI 3466 48.8 2935 3.9 20.0 35 6.1 48.8 2912 53.5 3285 2.0 23.5 42 2.9 3.5 3200 54.1 2862 2.9 16.5 41 11.8 54.1 3208 34.3 3548 2.5 13.5 31 8.3 34.3 3799 50.2 3021 1.7 8.5 41 5.5 3 50.2Location analysis is an important decision in operations management of production and service industries. A critical decision for many organizations is where to locate a processing plant, warehouse, retail outlet, etc. A large number of business variables are typically considered in this decision problem. The management of a large motel/inn chain is aware of the challenges in choosing new motel locations. The chain's management uses the \"operating margin,\" which is the ratio of the sum of profit, depreciation, and interest expenses divided by total revenue, to make this type of decision. In general, the higher the \"operating margin,\" the greater the success of the motel/inn. The chain's management has collected data on 100 randomly selected of its current inns. By measuring the \"operating margin,\" the objective is to predict which sites would likely generate more profit. Below is a description of the different variables considered in this analysis. Location ID Number Location identifier Operating Margin Operating margin, in percent Number of motels, inns, and hotel rooms within 5 miles Nearest Number of miles to the closest competitors Enrollment Number of college and university enrollment (in thousands) in nearby college and universities Average household income (in thousands) of the neighborhood Distance Distance from downtown Quality The quality of the service level of the location (1 = bad, 2 = average, 3 = good, 4 = excellent) High Speed Internet High speed internet availability (1 = no, 2 = yes) Gym availability (1 = no, 2 = yes) The dataset is called Location Analysis. 0 ~

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