Asked by Lavkush Tamrakar on May 08, 2024

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When using regression analysis to determine estimated costs, what criteria are necessary to evaluate a particular regression line?

A) Closeness to pre-analysis guess
B) Goodness of fit
C) Coefficient of determination
D) Goodness of fit AND coefficient of determination

Regression Analysis

A statistical method used to model and analyze the relationships between a dependent variable and one or more independent variables.

Coefficient of Determination

A statistical measure, indicated by R², that shows the proportion of variance in the dependent variable predictable from the independent variable(s).

Goodness of Fit

A statistical measure that indicates how well observed data correspond to the expected outcome under a specified model.

  • Identify the assumptions and criteria necessary for regression analysis in cost estimation.
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EF
Emily FesmireMay 13, 2024
Final Answer :
D
Explanation :
Both goodness of fit and coefficient of determination are necessary criteria to evaluate a regression line. Goodness of fit measures how well the regression line fits the data points and the coefficient of determination measures how much of the variability in the dependent variable can be explained by the independent variable. Therefore, both criteria should be considered when evaluating a particular regression line.