analyize the data by interpreting results. Think about how you might use the odds ratio in your analysis to simplify the interpretation of your results.How has your statistical significance and odds ratio changed by the introduction of the second independent variable?is the predictive relationship is statistically significant as well as the odds ratio and what it means. How can the results be used forSocial Change. Case Processing Summary Unweighted Casesa N Percent Selected Cases Included in Analysis 5164 88.4 Missing Cases 675 11.6 Total 5839 100.0 Unselected Cases 0 .0 Total 5839 100.0 a. If weight is in effect, see classification table for the total number of cases. Dependent Variable Encoding Original Value Internal Value Male 0 Female 1 Categorical Variables Codings Frequency Parameter coding (1) (2) (3) (4) (5) Hours spent hanging out with friends on typical schoolday Less than 1 hour 1066 .000 .000 .000 .000 .000 1 to 2 hours 1207 1.000 .000 .000 .000 .000 2 to 3 hours 1015 .000 1.000 .000 .000 .000 3 to 4 hours 651 .000 .000 1.000 .000 .000 4 to 5 hours 401 .000 .000 .000 1.000 .000 5 or more hours 824 .000 .000 .000 .000 1.000 Classification Tablea,b Observed Predicted T1 Student's sex Percentage Correct Male Female Step 0 T1 Student's sex Male 2599 0 100.0 Female 2565 0 .0 Overall Percentage 50.3 a. Constant is included in the model. b. The cut value is .500 Variables in the Equation B S.E. Wald df Sig. Exp(B) Step 0 Constant -.013