Question

A multiple regression model has ___

(A) only one independent variable
(B) more than one dependent variable
(C) more than one independent variable
(D) at least 2 dependent variables

Answer 1

A multiple regression model has (C) more than one independent variable, which distinguishes it from simple linear regression models that only have one.

Step-by-step explanation:

A multiple regression model has more than one independent variable. This option is represented by (C) more than one independent variable. Multiple regression is a statistical technique that considers the relationship between two or more independent variables and the dependent variable. It seeks to find the equation that best predicts the value of the dependent variable based on the values of the independent variables.

In contrast, simple linear regression, which is often studied at the beginning of regression analysis and typically in high school statistics or introductory college courses, has one independent variable. It describes a straight-line relationship between the two variables and can be represented by the equation y = a + bx, where y is the dependent variable, x is the independent variable, a is the y-intercept, and b is the slope of the line.

Answer 2

C. More than one independent variable

Step-by-step explanation:

The difference between linear regression model and multiple regression model is that the linear regression has just one independent variable which is use to determine the dependent variable. While the multiple regression model has at least two or more independent variable which is use to determine the dependent variable.