Here are the results of the logistic regression. Please explain every step. Which will be our final model and why? (based on the results!) The LOGISTIC Procedure \begin{tabular}{|r|r|r|} \hline \multicolumn{2}{|c|}{ Number of Observations Read } & 188 \\ \hline \multicolumn{2}{|c|}{ Number of Observations Used } & 181 \\ \hline \multicolumn{2}{|c|}{ Response Profile } \\ \hline \begin{tabular}{r} Ordered \\ Value \end{tabular} & hegp & \begin{tabular}{r} Total \\ Frequency \end{tabular} \\ \hline 1 & 1 & 80 \\ \hline 2 & 0 & 101 \\ \hline \end{tabular} Probability modeled is hcgp=1. Note: 7 observations were deleted due to missing values for the response or explanatory variables. Backward Elimination Procedure Step 0 . The following effects were entered: Intorront ralr aronnt aronn? hoinht woinht nill alh uric Step 1. Effect pill is removed: Sten 2. Effect weiaht is removed: Step 3. Effect alb is removed: \begin{tabular}{|l|r|r|} \hline \multicolumn{3}{|c|}{ Model Convergence S } \\ \hline Convergence criterion (GCONV= \\ \hline \multicolumn{3}{|c|}{ Model Fit Statistics } \\ \hline Criterion & Intercept Only & \begin{tabular}{r} Interc \\ Co \end{tabular} \\ \hline AIC & 250.477 & \\ \hline SC & 253.676 & \\ \hline 2 Log L & 248.477 & \\ \hline \end{tabular} Step 4. Effect agegp1 is removed: Note: No (additional) effects met the 0.05 significance level for removal from the model