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    Which of the following is not an assumption of the regression model? a. The error terms have constant variance. b. The model is linear. c. The error terms decrease as x values increase. d. The error terms are independent.

    Answer to: Which of the following is not an assumption of the regression model? a. The error terms have constant variance. b. The model is linear....

    Regression analysis

    Which of the following is not an assumption of the regression model? a. The error terms have...

    Which of the following is not an assumption of the regression model? a. The error terms have... Question:

    Which of the following is not an assumption of the regression model?

    A. The error terms have constant variance.

    B. The model is linear.

    C. The error terms decrease as x values increase.

    D. The error terms are independent.

    Regression Model:

    A regression model is the result of a regression analysis. It allows researchers to be able to make predictive statements regarding the variables included in the regression model.The regression model is always phrased to equal the predicted value of the y-variable. The equation itself will include a coefficient associated with the y-intercept, along with a coefficient associated with a slope value for each independent variable included within the model.

    Answer and Explanation:

    The correct answer to the given question is represented by option C. The error terms decrease as x values increase.

    The other three options listed are all specific requirements that must be met in order for the results of a regression model to be considered valid. The idea that error terms decrease as the x-values increase, would be highly problematic and render the resulting regression model to be unusable. It is therefore, certainly not a requirement of the regression model.

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