Question at position 7 In a simple linear regression model, the variable used for predicting or explaining values of the response variable is known as the Question Blank 1 of 1[input].

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Question at position 7 In a simple linear regression model, the variable used for predicting or explaining values of the response variable is known as the Question Blank 1 of 1[input].

BlackTom AI · Accepted Answer

In a simple linear regression model, the term used for the variable that provides the input to predict or explain the response is the predictor variable.
Here, the question asks for the name of the variable used for predicting or explaining values of the response variable, which in regression contexts is the independent variable (also called the predictor or explanatory variable).
To reason this out, consider that the response variable is the outcome you are trying to model, while the independent variable is the feature or input that helps explain variation in that outcome. The relationship is typically expressed as Y = a + bX, where X is the independent variable and Y is the dependent (response) variable.
Because the prompt did not provide multiple answer choices to evaluate, there are no incorrect alternatives to critique here. However, it is common to confuse terms; for clarity:
- Independent variable (predictor) is the input used to predict Y.
- Dependent variable (response) is the outcome being predicted or explained.
- In simple linear regression, there is exactly one independent variable X used to predict the dependent variable Y.

Question at position 7 In a simple linear regression model, the variable used for predicting or explaining values of the response variable is known as the Question Blank 1 of 1[input].

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