This is a discussion-based question. / a) The Journal of Organizational Culture, Communications and Conflict published a study on women in upper management positions at U.S. firms. Observational data (n 252 months) were collected for several variables in an attempt to model the number of females in managerial positions (y). The independent variables included: the number of females with a college degree (x,) ; the number of female high school graduates with no college degree (x2); the number of males in managerial positions (x3) ; the number of males with a college degree (x4) ; the number of male high school graduates with no college degree (x5) The correlation relating number of males in managerial positions and number of males with a college degree was determined to be r = .851 I. Is there evidence of Multicollinearity? Explain why or why not II. The study above used observational data. Discuss one limitation of using observational data. b) Ben is conducting research on the relationship between personality traits and aggressive behavior. Four of the variables utilized in his research are: aggressive behavior, irritability, anger and narcissism. He computes the pairwise correlations for these four variables: Aggressive behavior - Irritability: .47 Aggressive behavior - Trait anger: .68 Aggressive behavior - Narcissism: .61 Irritability - Narcissism: .13 Irritability -Anger: .87 Anger - Narcissism: .28 Suppose that aggressive behavior is the dependent variable in his regression model and the other variables are independent variables. Do you think there is evidence of Multicollinearity? Explain why or why not. . Should Ben proceed with his regression model as is or should he make some modifications to the model? c) Discuss two problems that result when Multicollinearity is present in the regression analysis. d) In general, discuss two measures that can be used to solve/fix Multicollinearity