For questions 52-60, refer to the following study and the accompanying SAS output: In the analyses below, 189 women were studied to assess risk factors for low birth weight. Variables of interest include last menstrual weight (LWT, quantitative), maternal race (RACE, categories 1,2,3), maternal smoking status (SMOKE, 1=yes, 0 = no), history of hypertension (HT, 1= yes, 0=no), uterine irritability (UI, 1=yes, 0=no). 52. What type of analysis is this? a. ANCOVA b. Linear regression c. Logistic regression d. One-way ANOVA e. Two-way ANOVA 53. The table below shows output from a model where the outcome is low birth weight (1=yes, 0=no) and the predictor is maternal smoking status (1=yes, 0=no). Calculate the estimated odds ratio and choose the appropriate interpretation. Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr> ChiSq Intercept 1 -1.0870 0.2147 25.6244 For questions 54-60, refer to the SAS output below: Testing Global Null Hypothesis: BETA-0 Analysis of Maximum Likelihood Estimates Test Chi-Square DF Pr> ChiSq Standard Wald Parameter DF Estimate Error Chi-Square Pr> ChiSq Likelihood Ratio 30.4554 6 60. Calculate the estimated odds and the estimated probability (risk) of low birthweight of a baby born to a mother with LWT = 150, nonsmoking, race category 1, no uterine irritability, no hypertension? a. Odds = .0864, Probability (risk) = .0795 b. Odds = -.0167, Probability (risk) = .5 c. Odds = .0795, Probability (risk) = .0864 d. Odds = .05, Probability (risk) = .03 e. Odds = -2.45, Probability (risk) = .0795