D Question 50 2 pts Let the regression equation be given by Y = BO + B1*X1 + B2*D + B3*X1"D where d is a dummy variable. What is the regression equation when D = 1? O y = BO + B1*X1 O y = BO + (B1 + B2 + B3)*X1 O y = BO + B2 + (B1 + B3)*X1 O y = BO + B2 + B3 +B1*X1 Next > Previous Not saved Submit QuizD Question 48 2 pts Multicollinearity occurs when: O An independent variable in a multiple regression model can be linearly predicted by the dependent variable. An independent variable in a multiple regression model can be linearly predicted by another independent variable. An independent variable in a multiple regression model cannot be linearly predicted by another independent variable. An independent variable in a multiple regression cannot be linearly predicted by another dependent variable. Next Previous Not saved Submit QuizD Question 46 2 pts A website advertises job openings on its website, but job seekers have to pay to access the list of job openings. The website recently completed a survey to estimate the number of days it takes to find a new job using its service. It took the last 30 customers an average of 60 days to find a job. Assume the population standard deviation is 10 days. Calculate a 95% confidence interval of the population mean number of days it takes to find a job. [56.9966, 63.0034] [55.9085, 64.0915] [56.4216, 63.5784] [40.4000, 79.6000] Next Submit QuizD Question 47 2 pts For data with a heteroskedasticity problem, the estimated parameter coefficients will be wrong if we do not correct for the heteroskedasticity. True O False Next Previous Not saved Submit QuizD Question 49 2 pts Homoskedasticity assumes the variance of the error term is: O Zero for each independent variable. Changing for each independent variable. O Equal to the variance of the independent variable. Constant for each independent variable. Next Previous Not saved Submit Quiz