I. A cross-sectional study was carried out to explore the effect of obesity on risk of having high cholesterol. Age (years) numeric variable Obesity was coded O=normal, I=obese; factor variable called Cholesterol was coded 0=10w cholesterol, I=high cholesterol; factor variable called Use the following R output to determine if there is a statistically significant association between age and cholesterol. Justify your answer. (I mark) modell family = binomial(link = cget(modell), coonpNmodeII))) "logit")) 0.2238708 1.014891 2.5 % 0.1935015 1.01234 97.5 % o. 2590066 1.017448 b) State what assumption is being made when age IS modelled as a continuous exposure variable and describe one way that you could test this assumption in R. (4 marks) c) Using the R output below, describe the association between obesity and cholesterol. Include an interpretation of the confidence interval. (3 marks) mode12c-glm4ateset$cb0JN family = binomial(link OR = goofinMmode12))) "logit")) 0.4788911 1.144598 2.5 % 0.4532962 1.03241 97.5 % 0.5059313 1.268977 d) Explain in words what you would do in R if you want to see if age is a confounder between the association of obesity and cholesterol? (2 marks)