Deli Depot Logistic Regression Exercise

# Deli Depot Logistic Regression Exercise - a Observed...

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Deli Depot Logistic Regression Exercise 1. We recode the driving distances into two categories: people who drive less than 3 miles; people who drive more than 3 miles. 2. First we conduct the correlation and take out X5; 3. We use “Forward stepwise: Wald” method and the results are: The hit ratio for driving distance less than 3 miles is 100%, and hit ration for driving distance more than 3 miles is 75%. From the table (attached), the significance levels of all independent variables are smaller than .05. Expo. Logistic Coefficient: X1: a one-unit change in X1 will increase the odds by 883.8%. Magnitude = 8.383 Wald test value: 20.600 X3: a one-unit change in X3 will increase the odds by 413.5%. Magnitude = 4.135 Wald test value: 10.767 X4: a one-unit change in X4 will increase the odds by 2504.6% Magnitude = 25.046 Wald test value: 19.964

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Classification Table
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Unformatted text preview: a Observed Predicted two categories 1 Step 3 two categories Driving distance less than 3 miles 168 100.0 Driving distance more than 3 miles 8 24 75.0 Overall Percentage 96.0 a. The cut value is .500 Variables in the Equation B S.E. Wald df Sig. Exp(B) Step 3 a x1 2.239 .493 20.600 1 .000 9.383 x3 1.636 .499 10.767 1 .001 5.135 x4 3.260 .730 19.964 1 .000 26.046 Constant-44.501 9.433 22.254 1 .000 .000 a. Variable(s) entered on step 3: x3. Omnibus Tests of Model Coefficients Chi-square df Sig. Step 3 Step 23.379 1 .000 Block 116.024 3 .000 Model 116.024 3 .000 Model Summary Step-2 Log likelihood Cox & Snell R Square Nagelkerke R Square 3 59.844 a .440 .752 a. Estimation terminated at iteration number 9 because parameter estimates changed by less than .001. Hosmer and Lemeshow Test Step Chi-square df Sig. 3 11.465 8 .177...
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Deli Depot Logistic Regression Exercise - a Observed...

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