with the Nursing Home data read the documentation in the file. Test the data for anomalies. You must determine what tests are appropriate and how to interpret the results. What points are interesting and why? also provided lecture notes just in case it was needed
% Title: Nusring Home Data % Source: DASL - http://lib.stat.cmu.edu/DASL/Stories/nursinghome.html % Description: % The data were collected by the Department of Health and Social Services of the % State of New Mexico and cover 52 of the 60 licensed nursing facilities in New Mexico % in 1988. % % Number of cases: 52 % Variable Names: % BED = number of beds in home % MCDAYS = annual medical in-patient days (hundreds) % TDAYS = annual total patient days (hundreds) % PCREV = annual total patient care revenue ($hundreds) % NSAL = annual nursing salaries ($hundreds) % FEXP = annual facilities expenditures ($hundreds) % RURAL = rural (1) and non-rural (0) homes @relation NursingHome @attribute BED numeric @attribute MCDAYS numeric @attribute TDAYS numeric @attribute PCREV numeric @attribute NSAL numeric @attribute FEXP numeric @attribute RURAL {0,1} @data 244,128,385,23521,5230,5334,0 59,155,203,9160,2459,493,1 120,281,392,21900,6304,6115,0 120,291,419,22354,6590,6346,0 120,238,363,17421,5362,6225,0 65,180,234,10531,3622,449,1 120,306,372,22147,4406,4998,1 90,214,305,14025,4173,966,1 96,155,169,8812,1955,1260,0 120,133,188,11729,3224,6442,1 62,148,192,8896,2409,1236,0 120,274,426,20987,2066,3360,1 116,154,321,17655,5946,4231,0 59,120,164,7085,1925,1280,1 80,261,284,13089,4166,1123,1 120,338,375,21453,5257,5206,1 80,77,133,7790,1988,4443,1 100,204,318,18309,4156,4585,1 60,97,213,8872,1914,1675,1 110,178,280,17881,5173,5686,1 120,232,336,17004,4630,907,0 135,316,442,23829,7489,3351,0 59,163,191,9424,2051,1756,1 60,96,202,12474,3803,2123,0 25,74,83,4078,2008,4531,1 221,514,776,36029,1288,2543,1 64,91,214,8782,4729,4446,1 62,146,204,8951,2367,1064,0 108,255,366,17446,5933,2987,1 62,144,220,6164,2782,411,1 90,151,286,2853,4651,4197,0 146,100,375,21334,6857,1198,0 62,174,189,8082,2143,1209,1 30,54,88,3948,3025,137,1 79,213,278,11649,2905,1279,0 44,127,158,7850,1498,1273,1 120,208,423,29035,6236,3524,0 100,255,300,17532,3547,2561,1 49,110,177,8197,2810,3874,1 123,208,336,22555,6059,6402,1 82,114,136,8459,1995,1911,1 58,166,205,10412,2245,1122,1 110,228,323,16661,4029,3893,1 62,183,222,12406,2784,2212,1 86,62,200,11312,3720,2959,1 102,326,355,14499,3866,3006,1 135,157,471,24274,7485,1344,0 78,154,203,9327,3672,1242,1 83,224,390,12362,3995,1484,1 60,48,213,10644,2820,1154,0 54,119,144,7556,2088,245,1 120,217,327,20182,4432,6274,0