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.

3. The normal distribution is the most important statistical probability distribution As far as practical applications are concerned, the graphical representation of the normal distribution is referred to as the normal curve. In your own words, identify three of the most important characteristics of the normal curve (3 pts) A) B) C)3. The normal distribution is the most important statistical probability distribution As far as practical applications are concerned; the graphical representation of the normal distribution is referred to as the normal curve. In your own words, identify three of the most important characteristics of the normal curve