II. Interpret each of the following software outputs. Include relevant hypotheses, statistics, and conclusions. Keep explanations concise (8 pts each) A. Table 6.2. Computer Output for Baseline-Category Logit Model with Alligator Data Testing Global Null Hypothesis: BETA=0 Test Chi-Square DP PE > Chisa Likelihood Ratio 16.8006 2 0.0002 Score 12.5702 2 0.0019 Wala 8.9360 2 0.0115 Analysis of Maximum Likelihood Estimates Standard Wala Parameter choice DF Estimate Error Chi-Square Pr > Chisa Intercept 1 1.6177 1.3073 1.5314 0.2159 Intercept 1 1 5.6974 1.7938 10.0881 0.0015 length F1 -0.1101 0.5171 0.0453 0.8314 length I 1 -2.4654 0.8997 7.5101 0.0061 Odds Ratio Estimates Point 95% Wala Effect choice Estimate Confidence Limits length F 0.896 0.325 2.468 length I 0.085 0.015 0.496 II. Interpret each of the following software outputs. Include relevant hypotheses, statistics, and conclusions. Keep explanations concise (8 pts each) A. Table 6.2. Computer Output for Baseline-Category Logit Model with Alligator Data Testing Global Null Hypothesis: BETA=0 Test Chi-Square DP PE > Chisa Likelihood Ratio 16.8006 2 0.0002 Score 12.5702 2 0.0019 Wala 8.9360 2 0.0115 Analysis of Maximum Likelihood Estimates Standard Wala Parameter choice DF Estimate Error Chi-Square Pr > Chisa Intercept 1 1.6177 1.3073 1.5314 0.2159 Intercept 1 1 5.6974 1.7938 10.0881 0.0015 length F1 -0.1101 0.5171 0.0453 0.8314 length I 1 -2.4654 0.8997 7.5101 0.0061 Odds Ratio Estimates Point 95% Wala Effect choice Estimate Confidence Limits length F 0.896 0.325 2.468 length I 0.085 0.015 0.496