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Two simple regression models were used to predict a single dependent variable.Both models were highly significant,but when the two independent variables were placed in the same multiple regression model for the dependent variable,R2 did not increase substantially and the parameter estimates for the model were not significantly different from 0.This is probably an example of collinearity.
Average Variable Cost
The total variable costs (costs that vary with production volume) divided by the number of units produced, which reflects the average cost per unit of varying expenses.
Total Variable Cost
The sum of all variable expenses related to the production of goods or services, which change with the level of output.
Average Variable Cost
The variable cost (costs that change with production volume) divided by the quantity of output produced.
Marginal Cost
The increase or decrease in the total cost incurred by producing one additional unit of a product or service.
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