Logistic Regression

User Generated

GU20

Business Finance

Description

please follow the instructions in the documents. First, you should make an investigations to get rid of the dependent variables based on their P_Values and their R_Square, You should check them one by one to notice the changes and please explain all the details and steps. Second, make a logistic model to the data and then apply the model to the second population and determine wich of the data should be considered for additional testing and finally write a report as it asked for in the document.

you should add the analysis toll package in excel if you do not find it under data.

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Identified Variables X1 Family History of Cancer x2 x3 Income Diet Score x4 x5 age at time of assessment Gender x6 level of education x7 x8 Years Exposed to Work environment genetic marker indicated suseptability to cancer x9 smoker x10 Location of Residence relative to plant x11 Resident of town or Employee of Plant x12 preliminary test for biomarkers (Aplha Test) x13 followup test for biomarket (beta test) 1 = yes 2 = not sure 3 = no continuous variable 1=Healthy 2= Moderately Healthy 3 = Moderately Unhealthy 4 = Unhealthy continuous variable 0=male 1=female 1 = none 2 = primary 3 = secondary 3 = post secondary 4 = specialized 5 = advanced continous 1=yes 0 = no 1=yes n=o 1=down wind 2 = upwind 3 = crosswinds 0= Employee 1 = Resident 0=no 1=yes continuous (1to1) Y 1 0 1 1 0 0 1 1 0 1 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 1 1 1 0 1 1 0 1 0 1 1 1 0 1 x1 1 2 3 2 3 2 1 1 3 2 3 3 3 1 1 2 1 2 2 1 1 1 3 2 3 3 1 2 3 3 3 2 2 3 3 3 3 3 2 1 2 2 2 3 2 2 3 3 2 2 1 x2 33000 21000 59000 76000 24000 22000 28000 49000 76000 59000 45000 21000 49000 23000 55000 29000 49000 45000 24000 30000 24000 59000 31000 33000 22000 29000 30000 28000 59000 56000 77000 97000 23000 25000 23000 88000 49000 76000 67000 55000 26000 49000 68000 45000 68000 32000 22000 55000 66000 29000 49000 x3 4 3 2 1 3 2 2 2 2 2 5 4 2 4 2 3 2 5 3 3 5 2 2 4 3 3 3 3 2 2 1 2 4 4 4 1 2 1 1 2 2 2 1 2 1 5 1 2 1 3 2 x4 37 55 55 44 37 32 32 38 43 55 32 46 44 30 55 32 44 32 37 32 55 55 32 32 32 32 32 32 55 43 43 18 32 37 32 43 44 44 25 55 37 44 25 32 43 35 55 55 43 32 44 x5 1 1 0 1 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 1 1 0 1 0 1 0 1 0 1 0 1 0 0 x6 1 5 3 2 3 1 1 3 2 5 5 5 4 5 5 5 2 1 3 4 4 5 4 2 4 4 1 5 4 1 3 4 5 5 4 5 5 2 1 3 1 5 3 4 3 2 2 5 1 3 2 1 1 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 1 1 1 0 0 0 1 0 1 1 0 0 1 1 1 0 0 1 0 0 0 0 0 1 1 1 2 3 1 2 2 2 3 1 2 2 3 2 1 3 1 2 2 3 1 2 3 1 2 3 1 2 1 3 2 1 2 3 3 3 3 1 2 3 3 2 1 3 2 3 2 1 3 2 3 1 28000 23000 45000 22000 66000 30000 43000 34000 32000 67000 25000 49000 33000 30000 34000 33000 32000 30000 66000 29000 25000 55000 22000 28000 22000 28000 45000 65000 78000 66000 99000 21000 23000 22000 88000 28000 49000 55000 29000 87000 66000 77000 26000 45000 43000 64000 45000 30000 56000 30000 30000 78000 2 3 3 3 2 3 5 4 2 1 5 2 4 3 1 4 5 3 1 3 3 2 3 2 4 2 3 2 1 2 2 3 3 3 2 3 2 2 4 2 1 5 2 3 1 1 3 3 1 3 3 1 32 37 32 37 25 32 27 55 32 25 27 38 55 32 37 32 27 32 25 32 37 55 32 38 44 32 32 22 21 25 25 44 37 37 43 32 55 55 32 43 25 22 37 32 22 33 32 32 43 32 32 25 0 0 0 0 1 0 0 1 0 1 0 0 1 0 1 0 0 0 1 0 1 1 0 0 1 0 0 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 0 1 1 0 0 1 0 0 1 1 4 5 1 1 2 4 5 3 2 3 2 3 3 2 1 5 5 2 3 3 5 5 5 1 1 5 2 2 3 3 4 4 1 2 2 4 5 1 2 2 1 4 3 1 1 4 5 4 3 1 2 1 1 0 0 1 0 1 0 0 0 0 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 0 0 1 1 1 1 0 0 0 0 0 1 0 1 1 0 0 1 0 1 1 1 0 1 1 0 2 2 3 1 2 3 3 2 2 3 3 1 2 2 3 2 1 3 2 1 2 2 1 2 3 2 2 2 1 1 3 1 1 3 2 3 3 2 1 2 1 1 3 3 2 3 3 1 3 2 2 3 77000 49000 32000 29000 89000 30000 55000 22000 32000 30000 49000 77000 59000 30000 22000 68000 59000 17000 22000 44000 76000 29000 59000 29000 23000 49000 33000 23000 64000 49000 57000 28000 22000 22000 33000 46000 22000 59000 22000 59000 33000 55000 49000 77000 22000 55000 22000 44000 21000 49000 55000 33000 1 3 5 4 1 3 2 2 2 3 2 1 2 3 5 1 2 1 2 1 1 4 2 3 4 2 4 4 1 3 1 3 3 4 5 1 2 2 5 2 1 5 2 2 3 2 1 3 2 2 2 2 43 38 35 32 22 32 55 32 32 32 44 43 55 32 27 25 55 23 32 43 21 32 55 32 30 44 32 32 33 44 25 32 32 44 23 43 32 55 32 55 24 44 38 25 37 55 25 37 37 44 55 32 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 1 1 1 1 1 1 0 1 0 2 5 4 1 1 2 1 3 5 5 4 2 3 1 1 3 1 3 3 3 2 5 5 5 2 4 2 5 3 4 4 1 5 5 3 2 2 2 2 4 5 3 1 5 5 1 4 3 5 1 5 1 0 0 0 1 1 0 0 0 1 1 0 1 0 0 1 0 0 1 0 1 1 1 0 1 1 1 0 1 0 1 0 1 1 1 0 0 0 1 1 1 0 0 0 0 0 1 1 3 1 1 3 2 1 2 2 3 2 1 3 1 2 3 2 3 1 1 1 2 1 2 3 2 2 2 2 3 3 1 1 3 2 2 1 1 1 1 2 2 3 2 30000 29000 49000 21000 55000 22000 28000 25000 98000 43000 49000 76000 30000 32000 59000 21000 55000 77000 34000 59000 65000 78000 19000 65000 59000 55000 29000 49000 23000 34000 30000 59000 22000 55000 29000 22000 33000 56000 49000 68000 22000 33000 22000 28000 45000 3 4 2 4 1 2 2 4 1 3 3 2 3 5 2 5 5 2 1 2 1 1 6 2 2 1 4 2 3 1 3 2 1 1 4 3 5 2 3 1 2 4 5 3 2 32 32 38 37 25 32 32 27 43 37 38 43 32 27 55 27 44 24 37 55 25 65 46 22 55 27 32 38 38 37 32 55 25 23 32 32 27 43 44 25 32 32 27 32 32 0 0 0 0 1 0 0 0 1 1 0 1 0 0 0 0 1 1 1 0 1 1 1 1 0 1 0 0 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 3 4 2 2 5 3 2 1 2 5 1 5 1 1 3 3 4 1 5 2 3 2 5 3 2 1 1 3 1 2 4 2 1 4 4 3 3 1 4 1 5 1 2 3 5 x7 9 9 5 8 10 6 6 5 7 1 5 5 2 8 10 7 7 5 6 8 9 9 6 5 9 8 7 9 6 10 5 9 6 5 7 10 8 10 5 1 7 6 3 8 5 8 9 6 2 9 2 x8 0 0 1 1 0 0 0 1 1 1 1 0 1 0 1 0 1 1 0 0 0 1 0 0 0 0 0 0 1 1 1 1 0 0 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 1 x9 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 0 0 1 0 1 1 1 0 1 1 1 0 0 1 0 1 1 1 0 1 x10 1 3 3 1 3 1 3 1 1 1 1 2 3 2 2 3 1 1 1 1 2 2 3 3 2 2 2 1 1 1 2 1 3 3 2 3 1 2 2 1 3 1 1 3 2 1 1 3 2 1 3 x11 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 1 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 x12 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 0 1 0 9 10 9 10 8 9 8 7 8 5 10 8 5 6 9 5 8 6 6 6 8 6 7 5 7 6 10 4 9 9 1 10 6 9 1 9 3 3 10 8 10 6 10 7 9 2 8 5 1 6 10 5 0 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 1 1 1 0 0 0 1 0 1 1 0 1 1 1 0 1 1 1 1 0 1 0 0 1 0 1 0 1 0 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0 0 1 1 1 1 0 1 1 0 1 0 0 1 0 0 0 0 0 1 0 0 0 2 2 2 2 3 1 1 3 3 3 1 2 2 2 3 2 3 2 2 2 3 3 2 3 2 3 3 2 3 3 1 2 2 2 2 1 3 2 2 2 2 1 1 2 1 3 2 2 2 1 1 2 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1 0 0 1 1 1 1 1 1 1 0 1 1 0 1 1 1 5 6 5 8 9 7 6 9 5 8 7 1 3 5 10 7 2 1 5 7 10 7 6 9 6 4 6 8 5 1 3 8 6 8 10 6 7 7 10 9 4 6 7 5 6 6 1 7 10 9 3 9 1 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 0 1 1 0 1 0 0 1 0 0 1 1 1 0 0 0 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 0 1 1 0 1 1 1 1 0 1 3 1 3 2 3 1 2 2 3 3 1 2 1 2 2 3 2 3 1 2 1 3 1 1 3 3 2 1 2 3 1 2 2 2 1 2 3 3 3 2 1 1 1 2 3 1 2 2 1 2 3 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 0 1 5 5 10 5 1 7 9 1 6 7 6 6 9 5 6 8 8 5 9 7 7 8 6 3 9 9 5 5 10 7 10 7 6 10 5 6 8 6 6 1 5 5 5 5 8 0 0 1 0 1 0 0 0 1 1 1 1 0 0 1 0 1 1 0 1 1 1 0 1 1 1 0 1 0 0 0 1 0 1 0 0 0 1 1 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 1 1 0 0 1 0 1 0 1 1 0 1 1 0 1 0 0 1 1 1 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 1 3 1 3 2 3 2 2 1 3 3 1 3 1 1 1 2 2 2 2 1 1 3 3 1 3 2 2 2 3 3 1 2 1 1 2 3 1 2 3 1 2 3 1 0 1 1 1 1 0 0 0 1 0 1 1 1 0 0 0 0 1 0 0 0 1 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 x13 0.82 0.72 0.92 0.58 0.78 0.97 0.15 0.06 0.38 0.92 0.24 0.87 0.63 0.99 0.63 0.97 0.01 0.55 0.86 0.65 0.91 0.14 0.22 0.30 0.57 0.27 0.47 0.78 0.72 0.20 0.74 0.60 0.92 0.17 0.01 0.44 0.56 0.79 0.24 0.76 0.37 0.10 0.70 0.14 0.08 0.06 0.80 0.10 0.40 0.39 0.43 0.33 0.67 0.56 0.77 0.87 0.51 0.85 0.55 0.92 0.91 0.24 0.51 0.30 0.59 0.88 0.21 0.68 0.76 0.05 0.53 0.11 0.14 0.00 0.78 0.22 0.20 0.56 0.38 0.83 0.98 0.10 0.16 0.03 0.39 0.49 0.94 0.10 0.68 0.83 0.66 0.69 0.70 0.12 0.25 0.65 0.55 0.51 0.60 0.08 0.10 0.85 0.32 0.08 0.65 0.20 0.64 0.61 0.98 0.95 0.74 0.36 0.74 0.46 0.89 0.99 0.36 0.28 0.77 0.20 0.45 0.42 0.93 0.62 0.32 0.53 0.04 0.68 0.61 0.32 0.94 0.73 0.17 0.83 0.94 0.08 0.39 0.46 0.55 0.60 0.92 0.21 0.08 0.91 0.43 0.67 0.94 0.57 0.40 0.23 0.90 0.47 0.01 0.00 0.75 0.66 0.13 0.55 0.37 0.90 0.63 0.38 0.40 0.94 0.68 0.56 0.89 0.21 0.80 0.44 0.35 0.47 0.82 0.23 0.64 0.98 0.33 0.13 0.98 0.18 0.35 0.60 0.84 0.99 0.37 0.77 0.58 0.17 0.98 0.45 0.56 0.95 0.01 0.68 0.47 0.14 0.28 0.63 0.99 0.09 x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 Secondary Population to be assessed Resident 1 Resident 2 Resident 3 Resident 4 Resident 5 Resident 6 Resident 7 Resident 8 Resident 9 1 3 1 1 1 3 1 1 1 13862 54072 45416 50543 48637 16683 43378 49890 25058 2 4 4 3 2 3 3 3 1 48 36 31 37 30 56 34 27 55 0 1 1 1 1 1 1 1 1 4 3 4 4 4 4 4 4 4 8 6 5 7 2 3 10 3 8 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 1 0 1 0 1 1 1 0 1 1 0 0.194496 0.11616 0.537787 0.263223 0.108178 0.463854 0.785357 0.605127 0.53438 Resident 10Resident 11Resident 12Resident 13Resident 14Resident 15Resident 16Resident 17Resident 18Resident 19 3 1 3 2 2 2 2 1 1 3 30609 59486 24335 24432 16837 32900 39664 32148 13233 34856 2 3 1 4 3 3 3 4 4 3 23 47 18 50 32 63 18 33 45 60 0 0 0 1 0 1 1 1 1 1 4 4 5 4 4 3 4 3 4 4 8 3 7 2 1 2 9 10 9 8 1 0 1 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 1 1 1 0 0.980255 0.113916 0.228468 0.62514 0.993658 0.317027 0.017911 0.303369 0.236248 0.030254 Resident 20Resident 21Resident 22Resident 23Resident 24Resident 25Resident 26Resident 27Resident 28Resident 29 2 1 3 3 1 2 3 2 1 1 51870 40890 32013 20835 46341 26238 28573 29115 32361 42350 3 3 1 3 2 4 3 4 3 3 30 59 64 57 19 25 25 39 26 48 0 1 1 1 1 1 0 0 0 1 4 4 3 2 4 5 4 4 4 4 8 2 10 8 2 9 9 6 2 6 0 1 1 1 1 0 1 0 1 1 1 0 1 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0.364706 0.459405 0.272484 0.069824 0.951112 0.495077 0.273711 0.827255 0.421702 0.327488 Resident 30Resident 31Resident 32Resident 33Resident 34Resident 35Resident 36Resident 37Resident 38Resident 39 3 2 3 1 2 3 2 2 1 1 13069 16888 44324 53972 14338 24448 53218 55709 45298 36399 3 3 2 3 1 3 3 1 2 2 32 59 54 64 59 55 51 34 21 45 0 1 1 1 1 1 1 1 1 0 3 4 5 4 4 4 2 4 4 2 1 1 3 2 2 1 9 2 4 7 0 0 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 1 0 1 1 1 0 1 0 0 1 1 1 0 0.960007 0.539362 0.133615 0.152686 0.345948 0.137318 0.496946 0.235394 0.35806 0.802984 Resident 40Resident 41Resident 42Resident 43Resident 44Resident 45Resident 46Resident 47Resident 48Resident 49 2 1 1 1 3 1 3 2 2 3 20217 17115 42538 39005 48541 13084 27347 58381 17653 15788 3 4 4 3 3 2 4 3 2 3 20 24 30 39 29 28 46 51 34 27 0 1 0 1 1 1 1 1 1 1 4 4 5 4 4 4 5 4 4 4 7 1 1 9 10 3 3 7 4 6 0 1 1 0 0 1 0 1 1 0 0 1 1 0 0 0 0 1 0 0 1 1 1 0 0 1 1 0 1 0 0.873386 0.65679 0.417605 0.33212 0.517037 0.737758 0.622334 0.259394 0.755547 0.867337 Resident 50Resident 51Resident 52Resident 53Resident 54Resident 55Resident 56Resident 57Resident 58Resident 59 1 1 3 1 2 1 1 3 1 2 14058 45846 45579 33418 42108 37250 57694 20615 25061 17783 2 4 2 3 2 4 4 2 1 2 62 18 18 56 56 49 64 34 52 19 1 1 0 1 1 1 1 1 0 1 4 4 4 4 4 4 4 3 3 4 3 1 7 5 7 3 10 10 3 10 1 0 0 1 1 0 1 1 1 1 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 1 0 0 0.125249 0.411189 0.59554 0.378166 0.293468 0.341373 0.400318 0.258764 0.813053 0.622816 Resident 60Resident 61Resident 62Resident 63Resident 64Resident 65Resident 66Resident 67Resident 68Resident 69 2 3 3 3 3 1 3 1 2 3 22649 50970 53161 30413 46681 43334 39922 33834 23019 19458 4 3 4 1 4 3 2 2 3 3 53 62 59 55 50 40 50 28 30 39 0 1 1 1 1 0 0 1 1 1 4 4 4 1 4 4 4 4 3 3 5 1 8 9 5 3 4 1 3 8 0 1 0 1 1 1 1 0 1 0 1 1 1 0 0 0 1 0 0 0 1 1 1 0 1 0 1 0 0 1 0.631614 0.212644 0.942669 0.105684 0.550769 0.07504 0.923381 0.063622 0.789125 0.100264 Resident 70Resident 71Resident 72Resident 73Resident 74Resident 75Resident 76Resident 77Resident 78Resident 79 2 3 1 1 2 3 3 2 3 1 26990 51896 23022 57138 58352 59513 27502 19733 37295 48286 3 3 3 3 3 2 4 3 4 3 32 36 51 26 19 24 36 28 29 49 1 0 0 0 1 1 1 0 1 1 5 2 4 4 4 4 4 5 3 4 2 9 4 7 7 3 2 2 10 4 0 0 1 1 0 1 0 1 1 0 0 0 0 0 0 1 0 1 0 1 0 1 1 1 1 0 1 0 1 0 0.444576 0.345292 0.584303 0.724697 0.911295 0.727941 0.88088 0.895332 0.473264 0.936037 Resident 80Resident 81Resident 82Resident 83Resident 84Resident 85Resident 86Resident 87Resident 88Resident 89 1 2 1 2 1 2 1 2 2 1 41487 21095 35833 40087 16495 30255 14913 55486 22280 38399 1 3 3 1 3 2 3 4 4 3 27 36 28 58 38 29 22 54 54 54 1 1 0 0 1 0 1 0 0 1 4 4 4 5 4 4 4 4 4 4 4 9 7 2 4 7 5 2 9 9 1 1 1 1 1 0 1 0 1 1 0 0 0 0 1 0 0 0 1 1 1 1 1 1 0 0 1 0 1 0 0.305697 0.664007 0.254405 0.946381 0.390763 0.562989 0.36869 0.31195 0.436196 0.353143 Resident 90Resident 91Resident 92Resident 93Resident 94Resident 95Resident 96Resident 97Resident 98Resident 99 1 2 1 2 2 3 3 2 1 2 44568 18468 49261 56431 31404 46578 34773 52850 26221 41064 3 4 2 1 4 1 1 3 3 3 49 23 25 61 35 22 42 51 19 31 1 1 1 0 1 1 1 1 1 1 3 3 4 4 4 4 4 4 5 1 6 7 3 1 10 8 1 8 9 3 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0.874264 0.46086 0.572899 0.763146 0.807488 0.915927 0.044927 0.117185 0.145743 0.412083 Resident 100 Resident 101 Resident 102 Resident 103 Resident 104 Resident 105 Resident 106 Resident 107 Resident 108 Resident 109 2 3 3 2 3 2 1 2 2 2 48280 43915 49939 14338 34809 59657 51524 14677 30070 24387 3 3 3 3 3 3 2 3 3 3 46 61 42 35 46 55 53 26 62 62 0 0 0 1 0 0 1 1 1 1 4 5 4 4 4 4 5 3 4 3 2 5 2 2 7 10 2 2 9 8 1 1 1 0 0 0 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 1 1 0 1 1 0 1 0 0 0.74068 0.51135 0.345488 0.001538 0.444203 0.118905 0.884981 0.103556 0.241118 0.056895 Resident 110 Resident 111 1 0 32713 41039 3 3 48 34 1 1 3 3 10 12 1 2 0 0 1 2 0.1485 0.240105 Week 9 Assignment For week 9, you have a set of data taken from a factory that makes fire suppressing chemicals that have been proven to be carcinogenic. A the employees and their family of a factory in upstate New York have been assessed for what the investigators believe to be important exposure factors. Each participant was also assessed for presents of a specific cancer that is related to the carcinogen (Response Variable). You are a public health investigator in Alabama, where there is a second plant located. You want to use the data collected on the NY employees and residents to build a Logistic Regression model so that you then assess the probability that Alabama residence that work or live near the plant will develop the cancer. Because the cancer test is very expensive, your office is unable to just test everyone, so you want to use the logistic regression to screen a large population of 133 people as a preliminary test to determine which are ‘at a higher risk’ of developing the cancer based on the exposure variables identified in the New York population. For this, you will 1 – review the data and determine which variables are relevant to the investigation 2 – construct a Logistic Regression model 3 – apply the logistic regression model to the Alabama resident data 4 – determine which of the Alabama residents should be considered for additional testing for the cancer 5 – Compile a report that clearly states - which of the exposure variables were rejected from the model, and for what reason. which of the Alabama residents were recommended for the additional screening test, and why these individuals were selected Recommendations for a larger testing regiment based on the assessment of the 133 people screened for the preliminary study
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