What is the main difference between High-Low Method and Regression Analysis? A) They are the same B) Regression Analysis is used in aggressive periods, but High-Low Method is used always C) High-Low Method is based on 2 periods, but Regression analysis consider all data so Regression analysis is more trustable D) High-Low Method is based on high costs, but Regression analysis considers all costs E) Regression Analysis is based on 2 periods, but High-Low Method considers all data Which of the following statements about using regression analysis is true? and why? explain your answer a-Regression analysis always ignores outliers. b-Regression analysis uses two points of data to arrive at the cost estimate equation. c-The R2 generated by the regression analysis is a measure of how well the regression analysis cost equation fits the data. d-Regression analysis is a subjective cost estimation method. 9. Which of the following is true about the difference between bivariate regression and multiple regression analysis? Select one: a. Multiple regression analysis involves multiple predictor variables that predict a single outcome (criterion) variable, whereas bivariate regression analysis involves a single predictor variable that predicts a single outcome (criterion) variable. 

b. Multiple regression analysis involves multiple predictor variables that predict multiple outcome (criterion) variables, whereas bivariate regression analysis involves a single predictor variable that predicts multiple outcome (criterion) variables.

c. Multiple regression analysis involves a single predictor variable that predicts a single outcome (criterion) variable, whereas bivariate regression analysis involves multiple predictor variables that predict a single outcome (criterion) variable.

d. Multiple regression analysis involves a single predictor variable that predicts multiple outcome (criterion) variables, whereas bivariate regression analysis involves multiple predictor variables that predict a single outcome (criterion) variable.