Which of the following statements is false? O a. In the simple linear regression model given by: y = beta0 + beta1 x + e, the variable y is the dependent variable. O b. In the simple linear regression model given by: y = beta0 + beta1 x + e, the variable e is the residual. O " In the simple linear regression model given by: y = beta0 + beta1 x + e, the variable y is the regressor. O d. In the simple linear regression model given by: y = beta0 + beta1 x + e, the parameter beta0 is the intercept. O . In the simple linear regression model given by: y = beta0 + beta1 x + e, the parameter beta1 is the slope.QUESTION 43 l. The main difference between simple linear regression and multiple regression is: Multiple regression uses more than one response variable, while simple linear regression only uses Simple linear regression uses more than one response variable, while multiple regression only uses Multiple regression uses more than one explanatory variable; while simple linear regression only uses one. Simple linear regression uses more than one explanatoryr variabler while multiple regression only uses one. II There is no obvious difference between these analyses. The main difference between simple linear regression and multiple regression is: Selected Answer\". Multiple regression uses more than one explanatoryr variable, while simple linear regression only uses one. Answers: Multiple regression uses more than one response variable, while simple linear regression only uses one. Simple linear regression uses more than one response variable, while multiple regression only uses one. Multiple regression uses more than one explanatory variable, while simple linear regression only uses one. Simple linear regression uses more than one explanatory variable, while multiple regression only uses one .There is no obvious difference between these analyses