9.Question 9 Recall the analyses from the previous course's project regarding prediction of not showing up for medical appointments for a sample of clinic patients in Brazil. The researchers , after consultation with you, decided to only analyze the association between being an appointment " no-show" and receiving a SMS reminder to those who scheduled appointments in advance (i.e. those without a same-day appointment). The following logistic regression details the results of the initial, unadjusted, association between "no-shows" and receiving a SMS among the nearly 72,000 appointments that were not same- day appointments is: ln(odds of being a \"no-show") = -0.87+ -0.09X1 where x1 =1 if the patients received a SMS, and 0 if the patient did not receive a SMS. The corresponding multiple logistic model is ln(odds of being a \"no-show") = -O.52+ -0.11X1 + -0.02x2 + -0.009X3 +0.26X4 where X1 =1 if the patients received a SMS, and 0 if the patient did not receive a SMS, X2 =1 if the patient is male and 0 if female, x3 = age in years, and x4=1 if the patient receives medical aid and 0 if not. What is the estimated adjusted odds ratio of missing an appointment for 45 year old patients compared to 30 year old patients of the same text reminder status, age and medical aid status