Final_Exam_l_Question.csv Use R to run a multiple logistic regression analysis predicting Lung Cancer from all of the other covariates (Age, Sex, Years Smoked, and BMI) on the dataset provided in this question. First remove any row with missing values ("NA"), then identify the correct responses below. (Choose all that apply) The prevalence of lung cancer in this sample is 2.04% (rounded to the nearest hundredths) Acne-standard deviation unit increase in Years Smoked increases the odds of lung cancer by 1.34 after adjusting for Age, Sex, and BMI The C-statistic for this logistic regression model on this dataset is 0.825. The model has better predictive performance in Males than it does in Females in this dataset At a threshold of 5%, the sensitivity of the model is 50% Consider a second logistic regression model using only Years_Smoked as a predictor. Based on a likelihood ratio test, the full model is superior to this model at a significance level of 0.05