Last homework we stratified the low birth weight dataset by a predictor of interest, smoking status. This week we will determine if smoking is a confounder in the relationship between premature labor and low birth weight. For this assignment, the exposure of interest is premature labor and the outcome is low birth weight. Part 1. Identify Confounding between Exposure and Outcome (28 points) SAS code for completing this homework is included at the end of the assignment. For a variable to be a confounder in the causal path of an exposure and an outcome, it must meet four criteria: - The exposure, X, must be a risk factor of the outcome, Y - The exposure, X, must be associated with the confounder, C - The confounder, C, must be a risk factor of the outcome, Y - The confounder must not be in the causal pathway between the exposure and the disease (X C Y)