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gizmo_the_mogwai [7]
2 years ago
3

in a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are

known as the . it(they) is(are) denoted by x. a. dependent variable b. residual variable c. regression variable d. independent variable
Mathematics
1 answer:
Rudiy272 years ago
8 0

In a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are known as the  independent variable. It(they) is(are) denoted by x.

The correct answer is an option (d)

For given question,

The variable that researchers are trying to explain or predict is called the

response variable. It is also sometimes called the dependent variable

because it depends on another variable.

The variable which is used to predict the response variable is known as the explanatory variable. It is also called as an independent variable because it does not depend on another variable.

In regression, the order of the variables is very important.

The explanatory variable (or the independent variable) always belongs on the x-axis. The response variable (or the dependent variable) always belongs on the y-axis.

Therefore, in a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are known as the  independent variable. It(they) is(are) denoted by x.

The correct answer is an option (d)

Learn more about the linear regression model here:

brainly.com/question/3785483

#SPJ4

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