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Variables in the Equation 95% C.LYor EXP(B) B S.E. Wald Sig. Exp(B) Lower Upper Step 1 sbp 009 014 .371 542 1.009 981 1.037 dbp

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Variables in the Equation 95% C.LYor EXP(B) B S.E. Wald Sig. Exp(B) Lower Upper Step 1 sbp 009 014 .371 542 1.009 981 1.037 dbp .034 025 1.799 180 1.034 985 1.086 chol 187 188 987 321 1.205 .834 1.742 age -.016 028 335 563 984 931 1.040 gender 755 401 3.544 060 2.127 969 4.667 Constant -6.334 1524 17.272 000 .002 Step 2a sbp 006 013 183 668 1.006 980 1.031 dop 035 102 5 1 965 161 1.036 986 1 087 chol 162 182 796 372 1. 176 823 1 681 gender 728 BOB 3 351 067 2.070 950 4 512 Constant -6.623 1 449 20 882 000 001 Step 34 dbp 043 0 16 7 290 007 1 044 1012 1.077 chol 175 180 948 330 1 191 838 1 694 gender 741 396 3 495 062 2 098 965 4.564 Constant -6.657 1 452 21 017 000 001 Step 42 dbp 050 1015 11 444 001 1 051 1 021 1 081 gender 806 321 4 250 039 2 238 1 040 4 815 Constant -6 120 1 817 21 606 002 a venable(s) entered on step 1 sop. dup, chet age, gender Table 1: Output from SPSS for Variable SelectionVariables In the Equation 95X CI.for EXP(B) SE wald Exp(B) Lower Upper Step 12 628 4615 1632 1 062 1.005 1 122 gender 2 117 2 931 529 467 8. 308 028 2495.947 abg by gender OB 3 208 1648 985 924 1.051 Constant 2 562 7487 905 a. Vanable) entered en step I cup gender. dbp . gender Table 2: Output from SPSS for InteractionFactors Estimated Standard 95% P-value Coefficient Error for Confidence Estimated Interval for OR Coefficient DBP 0.050 0.015 1.051 0.001 (1.021, 1.081) Gender 0.806 0.391 2.238 0.039 (Men vs. (1.040, 4.815) Women) Table 3: EstimationFACTOR | CAD | NO CAD Man 24 76 Women 13 87 Table 4: contingency Table Factor vs. CADi. What is the appropriate model to be used for this experiment? Justify your answer. (2 Marks) ii. List four step model checking until the final model obtained. (4 Marks) ili. Refer to step in model checking. explain the output in Table 1. (4 Marks) iv. Refer to step in model checking, explain the output in Table 2 (2 Marks) v. Refer to step in model checking (Table 1). determine whether multicollinearity exist. What are the indicators you can used other than Variance Inflation Factor (VIF)? (4 Marks) vi. Write the equation for the final model in Table 3. (2 Marks)vil. Refer to Table 4. compute Odds(Man), Odds(Women) and Odd Ratio(Man/Women) (3 Marks)vili. Refer to Table 3, Interpret the OR (Bold & Underline font) in terms of CAD, DBP and Gender. (4 Marks)ii. If you decided to solve Problem in Question 2 using Random Forest model, explain step by step and draw diagram to illustrate the procedure

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