In regression analysis, the independent variable is
a. used to predict other independent variables
b. used to predict the dependent variable called the intervening variable
c. the variable that is being predicted

Respuesta :

Answer:

b. used to predict the dependent variable called the intervening variable

Step-by-step explanation:

The variable of interest is also known as response variable or dependent variable, are named the predictors, or independent variables in the regression. By the other hand, the dependent variable is known as the variable of interest or "Y" and usually the independent variables are expressed by "X".

Based on this definition we can analyze one by one the possible options:

a. used to predict other independent variables

No, the independet variable is not used to predict other independt variables, the independent or the intependent variables X's are used to predict the dependent variable Y

b. used to predict the dependent variable called the intervening variable

Yes, the practical use of the independent variables are predict the dependent variable Y.

c. the variable that is being predicted

No, the independent variable X is not the variable that would be predicted, the Dependent variable Y is the variable that would being predicted.

Using function concepts, it is found that the correct option is:

b. used to predict the dependent variable called the intervening variable.

What is the relation between a function and the dependent and independent variables?

A function has the following format: y = f(x).

In which each value of y is a function of one value of x, and thus, x is the independent variable and y is the dependent variable.

That is, the input of the function is the independent variable and the output is the dependent variable.

In regression analysis, a function y = f(x) is generated, which predicts the output y according to the input variable x, hence option b is correct.

You can learn more about dependent and independent variables at https://brainly.com/question/1429012