ID,Income,Limit,Rating,Cards,Age,Education,Gender,Student,Married,Ethnicity,Balance, 190,58.351,4411,326,2,85,16,Female,No,Yes,Caucasian,126, 282,36.142,1852,183,3,33,13,Female,No,No,African American,0, 364,64.173,6127,433,1,80,10, Male,No,Yes,Caucasian,578, 59,10.354,3480,281,2,70,17, Male,No,Yes,Caucasian,333, 200,10.403,4159,310,3,43,7, Male,No,Yes,Asian,571, 37,62.413,6457,455,2,71,11,Female,No,Yes,Caucasian,762, 334,21.011,3402,261,2,68,17, Male,No,Yes,African American,182, 300,24.919,5051,372,3,76,11,Female,No,Yes,African American,711, 351,30.002,1561,155,4,70,13,Female,No,Yes,Caucasian,0, 213,39.145,4351,323,2,66,13, Male,No,Yes,Caucasian,308, 360,12.335,4471,344,3,79,12, Male,No,Yes,African American,611, 29,186.634,13414,949,2,41,14,Female,No,Yes,African American,1809, 78,20.936,3254,253,1,30,15,Female,No,No,Asian,145, 209,51.345,4327,320,3,46,15, Male,No,No,African American,230, 398,57.872,4171,321,5,67,12,Female,No,Yes,Caucasian,138, 107,16.819,1337,115,2,74,15, Male,No,Yes,Asian,0, 195,30.406,2120,181,2,79,14, Male,No,Yes,African American,0, 395,49.794,5758,410,4,40,8, Male,No,No,Caucasian,734, 281,53.401,5319,377,3,35,12,Female,No,No,African American,541, 341,27.794,3807,301,4,35,8,Female,No,Yes,African American,320, 225,121.709,7818,584,4,50,6, Male,No,Yes,Caucasian,701, 388,16.529,1357,126,3,62,9, Male,No,No,Asian,0, 86,152.298,12066,828,4,41,12,Female,No,Yes,Asian,1779, 239,26.532,2910,236,6,58,19,Female,No,Yes,Caucasian,52, 119,27.039,2161,173,3,40,17,Female,No,No,Caucasian,0, 180,58.026,7499,560,5,67,11,Female,No,No,Caucasian,1237, 116,40.442,4828,369,5,81,8,Female,No,No,African American,510, 115,16.482,3326,268,4,41,15, Male,No,No,Caucasian,271, 263,10.588,4049,296,1,66,13,Female,No,Yes,Caucasian,465, 85,43.54,2906,232,4,69,11, Male,No,No,Caucasian,0, 46,77.38,7569,564,3,50,12,Female,No,Yes,Caucasian,997, 41,34.95,3327,253,3,54,14,Female,No,No,African American,50, 365,128.669,9824,685,3,67,16, Male,No,Yes,Asian,1243, 212,29.567,5309,397,3,25,15, Male,No,No,Caucasian,799, 368,23.793,3615,263,2,70,14, Male,No,No,African American,216, 44,36.929,6257,445,1,24,14,Female,No,Yes,Asian,976, 399,37.728,2525,192,1,44,13, Male,No,Yes,Caucasian,0, 82,53.48,4263,317,1,83,15, Male,No,No,Caucasian,99, 196,23.883,5384,398,2,73,16,Female,No,Yes,African American,802, 226,15.079,5673,411,4,28,15,Female,No,Yes,Asian,1075, 143,103.893,7416,549,3,84,17, Male,No,No,Asian,669, 118,91.362,9113,626,1,47,17, Male,No,Yes,Asian,1341, 292,24.088,3665,287,4,56,13,Female,No,Yes,Caucasian,309, 163,63.809,7530,515,1,56,12, Male,No,Yes,Caucasian,1086, 246,34.509,2001,189,5,80,18,Female,No,Yes,African American,0, 183,58.929,6420,459,2,66,9,Female,No,Yes,African American,789, 67,113.829,9704,694,4,38,13,Female,No,Yes,Asian,1388, 135,34.664,5835,452,3,77,15,Female,No,Yes,African American,835, 353,104.483,7140,507,2,41,14, Male,No,Yes,African American,583, 129,123.299,8376,610,2,89,17, Male,Yes,No,African American,1259, 189,83.869,7667,554,2,83,11, Male,No,No,African American,930, 339,41.365,5303,377,1,45,14, Male,No,No,Caucasian,606, 305,82.706,7506,536,2,64,13,Female,No,Yes,Asian,905, 171,34.772,2021,167,3,57,9, Male,No,No,Asian,0, 55,15.333,1499,138,2,47,9,Female,No,Yes,Asian,0, 19,49.57,6384,448,1,28,9,Female,No,Yes,Asian,891, 22,37.348,6378,458,1,72,17,Female,No,No,Caucasian,968, 101,21.153,3736,256,1,41,11, Male,No,No,Caucasian,298, 23,20.103,2631,213,3,61,10, Male,No,Yes,African American,0, 56,32.916,1786,154,2,60,8,Female,No,Yes,Asian,0, 327,125.48,10230,721,3,82,16, Male,No,Yes,Caucasian,1361, 69,27.847,5619,418,2,78,15,Female,No,Yes,Caucasian,822, 105,15.846,4768,365,4,53,12,Female,No,No,Caucasian,745, 96,14.084,855,120,5,46,17,Female,No,Yes,African American,0, 136,44.473,3500,257,3,81,16,Female,No,No,African American,8, 358,39.609,2539,188,1,40,14, Male,No,Yes,Asian,0, 24,64.027,5179,398,5,48,8, Male,No,Yes,African American,411, 380,53.308,2860,214,1,84,10, Male,No,Yes,Caucasian,0, 198,50.699,3977,304,2,84,17,Female,No,No,African American,69, 168,29.403,2327,178,1,37,14,Female,No,Yes,Caucasian,0, 157,31.811,4284,338,5,75,13,Female,No,Yes,Caucasian,429, 384,14.292,3274,282,9,64,9, Male,No,Yes,Caucasian,382, 377,87.625,7167,515,2,46,10,Female,No,No,African American,767, 134,21.455,5829,427,4,80,12,Female,No,Yes,African American,1018, 352,61.62,5140,374,1,71,9, Male,No,Yes,Caucasian,302, 321,16.279,1160,126,3,78,13, Male,Yes,Yes,African American,5, 191,55.187,5352,385,4,50,17,Female,No,Yes,Caucasian,538, 325,31.029,2863,223,2,66,17, Male,Yes,Yes,Asian,415, 174,14.887,4745,339,3,58,12, Male,No,Yes,African American,724, 290,10.852,3907,296,2,30,9, Male,No,No,Caucasian,485, 204,68.206,6784,499,5,40,16,Female,Yes,No,African American,1411, 271,15.866,3085,217,1,39,13, Male,No,No,Caucasian,136, 231,33.214,5137,387,3,59,9, Male,No,No,African American,661, 98,26.067,3388,266,4,74,17,Female,No,Yes,African American,155, 218,12.456,5395,392,3,65,14, Male,No,Yes,Caucasian,955, 124,11.808,1300,117,3,77,14,Female,No,No,African American,0, 146,19.529,4673,341,2,51,14, Male,No,No,Asian,642, 15,19.144,3291,269,2,75,13,Female,No,No,African American,148, 273,30.413,3690,299,2,25,15,Female,Yes,No,Asian,728, 359,30.111,4336,339,1,81,18, Male,No,Yes,Caucasian,347, 237,42.529,4986,369,2,37,11, Male,No,Yes,Asian,489, 346,30.012,1511,137,2,33,17, Male,No,Yes,Caucasian,0, , 242,15.602,906,103,2,36,11, Male,No,Yes,African American,0, 13,80.616,5308,394,1,57,7,Female,No,Yes,Asian,204, 34,31.367,1829,162,4,30,10, Male,No,Yes,Caucasian,0, 289,16.711,5274,387,3,42,16,Female,No,Yes,Asian,863, 308,75.406,3874,298,3,41,14,Female,No,Yes,Asian,0, 197,93.039,7398,517,1,67,12, Male,No,Yes,African American,749, 349,13.433,1134,112,3,70,14, Male,No,Yes,Caucasian,0

7. Take a look at your dataset. What Balance would your model predict for the person in the third row? type your answer here 8. Let's make another prediction. What Balance would your model predict for a fictional person with a Limit of 6000 and an Age of 30