In general, the use of multiple independent variables increases the proportion of the variation in the dependent variable explained by the cost equation.

Question

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Using multiple independent variables in a regression model can increase the explanatory power, as it allows the model to account for more factors that might influence the dependent variable, potentially increasing the R-squared value.

In General, the Use of Multiple Independent Variables Increases the Proportion