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You want to understand if the final model can be improved by selecting customers whose properties are in either Urban or Semi-urban area. Which of the following model did you find from your analysis to better understand the customers who apply for the loans? Group of answer choices Loan_Amount = 6232.31 +14.02* Applicant_Income Loan_Amount = 16.09*Applicant_Income + 18.92* Coapplicant_Income Loan_Amount t=38304.18 + 16.09*Applicant_Income + 18.92* Coapplicant_Income Loan_Amount = 6232.31+ 16.09*Applicant_Income + 18.92* Coapplicant Income B C Married Self Employed A 1 Loan_ID 2 LP002933 No 3 LP001011 Yes 4 LP002795 Yes 5 LP002938 Yes 6 LP001713 Yes 7 LP002582 No 8 LP001761 No 9 LP001066 Yes 10 LP002626 Yes 11 LP001253 Yes 12 LP002082 Yes 13 LP002945 Yes 14 LP002112 Yes 15 LP001644 Yes 16 LP002515 Yes 17 LP002555 Yes 18 LP001529 Yes 19 LP002377 No 20 LP002527 Yes 21 LP002180 No 22 LP002407 Yes 23 LP002821 No 24 LP001715 Yes 25 LP002429 Yes 26 LP001872 No 27 LP002234 No 28 LP001807 Yes 29 LP001841 No 30 LP002692 Yes 31 LP001245 Yes 32 LP002600 Yes 33 LP001491 Yes 34 LP002453 No 35 LP001005 Yes 36 LP002103 Yes 37 LP001504 No 38 LP001760 Yes 39 LP001824 Yes 40 LP002603 No 41 LP002670 Yes 42 LP001384 Yes 43 LP002734 Yes 44 LP001233 Yes 45 LP002065 Yes 46 LP002229 No 47 LP001776 No 48 LP002262 Yes 49 LP002855 Yes 50 LP001422 No 51 LP001552 Yes 52 LP001846 No 53 LP002983 Yes 54 LP002640 Yes 55 LP002543 Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No No No No No No No No No No No No No No No No D Applicant_Incom Coapplicant Incom 9357 5417 10139 16120 7787 17263 6400 9560 2479 5266 5818 9963 2500 674 3450 4583 2577 8624 16525 6822 7142 5800 5703 3466 5166 7167 6250 2583 5677 1875 2895 3316 7085 3000 9833 6950 4758 2882 645 2031 2071 6133 10750 15000 5941 8333 9504 16666 10408 4583 3083 E 8072 6065 8333 0 4196 0 0 0 0 0 0 3013 1774 2160 0 4600 5296 2079 2083 3750 0 1014 0 0 0 0 1210 0 0 1300 2167 1424 1875 0 3500 0 0 1833 0 0 1843 3683 1632 754 3906 0 0 4232 0 0 0 0 5625 0 240 2004 0 F Loan_Amoun 292000 267000 260000 260000 240000 225000 200000 191000 188000 187000 184000 180000 176000 168000 162000 160000 152000 150000 150000 141000 138000 132000 130000 130000 128000 128000 108000 104000 100000 97000 95000 88000 84000 66000 182000 175000 158000 123000 113000 113000 94000 324000 312000 300000 296000 280000 275000 275000 259000 255000 255000 253000 250000 246000 G Loan_Term H ▼ Property_Area Y 360 Semiurban 360 Urban 360 Semiurban 360 Urban 360 Urban 360 Semiurban. 360 Rural 360 Semiurban 360 Urban 360 Semiurban 360 Semiurban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Semiurban 360 Rural 360 Semiurban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Rural 360 Rural 360 Semiurban 360 Urban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Semiurban 360 Urban 360 Semiurban 360 Urban 180 Urban 180 Semiurban 480 Semiurban 480 Semiurban 480 Rural 480 Semiurban 480 Semiurban 360 Urban 360 Urban 360 Rural 360 Semiurban 360 Semiurban 360 Rural 360 Urban 360 Urban 360 Semiurban 360 Rural 360 Urban 360 Semiurban 360 Semiurban You want to understand if the final model can be improved by selecting customers whose properties are in either Urban or Semi-urban area. Which of the following model did you find from your analysis to better understand the customers who apply for the loans? Group of answer choices Loan_Amount = 6232.31 +14.02* Applicant_Income Loan_Amount = 16.09*Applicant_Income + 18.92* Coapplicant_Income Loan_Amount t=38304.18 + 16.09*Applicant_Income + 18.92* Coapplicant_Income Loan_Amount = 6232.31+ 16.09*Applicant_Income + 18.92* Coapplicant Income B C Married Self Employed A 1 Loan_ID 2 LP002933 No 3 LP001011 Yes 4 LP002795 Yes 5 LP002938 Yes 6 LP001713 Yes 7 LP002582 No 8 LP001761 No 9 LP001066 Yes 10 LP002626 Yes 11 LP001253 Yes 12 LP002082 Yes 13 LP002945 Yes 14 LP002112 Yes 15 LP001644 Yes 16 LP002515 Yes 17 LP002555 Yes 18 LP001529 Yes 19 LP002377 No 20 LP002527 Yes 21 LP002180 No 22 LP002407 Yes 23 LP002821 No 24 LP001715 Yes 25 LP002429 Yes 26 LP001872 No 27 LP002234 No 28 LP001807 Yes 29 LP001841 No 30 LP002692 Yes 31 LP001245 Yes 32 LP002600 Yes 33 LP001491 Yes 34 LP002453 No 35 LP001005 Yes 36 LP002103 Yes 37 LP001504 No 38 LP001760 Yes 39 LP001824 Yes 40 LP002603 No 41 LP002670 Yes 42 LP001384 Yes 43 LP002734 Yes 44 LP001233 Yes 45 LP002065 Yes 46 LP002229 No 47 LP001776 No 48 LP002262 Yes 49 LP002855 Yes 50 LP001422 No 51 LP001552 Yes 52 LP001846 No 53 LP002983 Yes 54 LP002640 Yes 55 LP002543 Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No No No No No No No No No No No No No No No No D Applicant_Incom Coapplicant Incom 9357 5417 10139 16120 7787 17263 6400 9560 2479 5266 5818 9963 2500 674 3450 4583 2577 8624 16525 6822 7142 5800 5703 3466 5166 7167 6250 2583 5677 1875 2895 3316 7085 3000 9833 6950 4758 2882 645 2031 2071 6133 10750 15000 5941 8333 9504 16666 10408 4583 3083 E 8072 6065 8333 0 4196 0 0 0 0 0 0 3013 1774 2160 0 4600 5296 2079 2083 3750 0 1014 0 0 0 0 1210 0 0 1300 2167 1424 1875 0 3500 0 0 1833 0 0 1843 3683 1632 754 3906 0 0 4232 0 0 0 0 5625 0 240 2004 0 F Loan_Amoun 292000 267000 260000 260000 240000 225000 200000 191000 188000 187000 184000 180000 176000 168000 162000 160000 152000 150000 150000 141000 138000 132000 130000 130000 128000 128000 108000 104000 100000 97000 95000 88000 84000 66000 182000 175000 158000 123000 113000 113000 94000 324000 312000 300000 296000 280000 275000 275000 259000 255000 255000 253000 250000 246000 G Loan_Term H ▼ Property_Area Y 360 Semiurban 360 Urban 360 Semiurban 360 Urban 360 Urban 360 Semiurban. 360 Rural 360 Semiurban 360 Urban 360 Semiurban 360 Semiurban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Semiurban 360 Rural 360 Semiurban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Rural 360 Rural 360 Semiurban 360 Urban 360 Rural 360 Rural 360 Rural 360 Semiurban 360 Semiurban 360 Urban 360 Semiurban 360 Urban 180 Urban 180 Semiurban 480 Semiurban 480 Semiurban 480 Rural 480 Semiurban 480 Semiurban 360 Urban 360 Urban 360 Rural 360 Semiurban 360 Semiurban 360 Rural 360 Urban 360 Urban 360 Semiurban 360 Rural 360 Urban 360 Semiurban 360 Semiurban
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Related Book For
Probability And Statistics For Engineering And The Sciences
ISBN: 9781305251809
9th Edition
Authors: Jay L. Devore
Posted Date:
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