Question 5 [10 marks] Present a suitable model and write a paragraph explaining the significant patterns in reported thefts for New South Wales over the two-year period. The GENMOD Procedure Model Information Data Set WORK. THEFTS Distribution Poisson Link Function Log Dependent Variable thefts Offset Variable logdays Number of Observations Read 24 Number of Observations Used 24 1 w 3 Class Level Information Class Value Design Variables year 2019 1 0 2020 0 1 2021 00 month 1 OOOOOOOOOO 2 o 1 o o o o o o o o o 0 0 1 0 0 OOOOOO 4 o o o o o o o o o o 5 o o o o 1 o o o o o o o o o o o 1 o o o o o 7 o o o o o o 1 o o o o 0 0 0 0 0 0 0 1 0 0 0 o o o o o o o o 1 10 OOOOOOOOO 10 11 o o o o o o o o o o 1 OOOOOOOOOOO 6 8 9 12 Criteria For Assessing Goodness of Fit Criterion DF Value Value/DF Deviance 10 1519.9555 151.9956 Scaled Deviance 10 1519.9555 151.9956 Pearson Chi-Square 10 1518.0254 151.8025 Scaled Pearson X2 10 1518.0254 151.8025 Log Likelihood 3337483.2437 Full Log Likelihood -898.0732 AIC (smaller is better) 1824.1464 AICC (smaller is better) 1870.8131 BIC (smaller is better) 1840.6392 Algorithm converged. DF Parameter Intercept year year 2019 1 1 1 2020 month 1 1 month 2 1 month 3 1 month 4 1 Analysis of Maximum Likelihood Parameter Estimates Standard Estimate Error Wald 95% Confidence Limits Wald Chi-Square Pr>Chisa 6.1235 0.0076 6.1086 6.1385 645296 <.0001 month scale question marks present a suitable model and write paragraph explaining the significant patterns in reported thefts for new south wales over two-year period. genmod procedure information data set work. distribution poisson link function log dependent variable offset logdays number of observations read used w class level value design variables year oooooooooo o oooooo ooooooooo ooooooooooo criteria assessing goodness fit criterion df deviance scaled pearson chi-square x2 likelihood full aic is better aicc bic algorithm converged. parameter intercept analysis maximum estimates standard estimate error wald confidence limits pr>Chisa 6.1235 0.0076 6.1086 6.1385 645296 <.0001 month scale>