Consider the following SPSS output from a logistic regression analysis of death over 5 years (died5) for two groups in a cohort study. Age is age in years. Dependent Variable Encoding Original Value Internal Value No 0 Yes Categorical Variables Codings Parameter coding Frequency (1) Group 1.00 152 1.000 2:00 346 .000 Variables in the Equation B SE Wald df Sig Exp(B) Step 14 Group(1) 344 245 1.972 1 160 1.410 age 103 015 46.389 000 1.109 Constant -8.257 1.046 62.297 1 .000 000 a. Variable(s) entered on step 1: Group, age. The best algebraic representation of the fitted logistic model is O Ln(odds of died5=yes) = a + b1 [if group=1] + b2 [if group=2] + b3 Age where b1=0. CLn(odds of died5=yes) = a + b1 Group + b2 Age Ln(odds of died5=yes) = b1 [if group=1] + b2 [if group=2] + b3 Age where b1=0. Ln(odds of died5=yes) = a + b1 [if group=1] + b2 [if group=2] + b3 Age where b2=0