Listen Consider a simple regression model Y=Bo+B1X+u where u=B2W+v is the error term such that is composed of a two terms, B2W is the part that measures the effect of W on Y given that B2 is different from zero and v is another error term that is uncorrelated with X by assumption. Suppose that X is correlated with W. Consider there is a random sample of the population of interest in which Y, X, Z are observed for a sample size of n. A way to address the potential omitted variable problem is: Instruction: choose as many that apply. a instrumental variable solution in which Z is correlated with W but uncorrelated with v. a proxy variable solution in which Z is correlated with X but uncorrelated with u. a proxy variable solution in which Z is correlated with W but uncorrelated with v. a multiple regression controlling for W if W would have been observed in the random sample. an instrumental variable solution in which Z is correlated with X and uncorrelated with u a proxy variable solution in which Z is correlated with X and W but uncorrelated with v