When using least-squares regression to determine variable and fixed costs,the r-square refers to the degree to which the change in the dependent variable can be explained by a change in the independent variable.

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This statement is true. The coefficient of determination (r-square) calculated in a least-squares regression model indicates the proportion of the variation in the dependent variable that can be explained by the independent variable(s). A higher r-square value (closer to 1) suggests a better fit between the observed data and the regression line, indicating that more of the variation in the dependent variable can be attributed to changes in the independent variable(s).

When Using Least-Squares Regression to Determine Variable and Fixed Costs,the