Table 71 Table 71 Shows the Short-Run Cost Data of a Perfectly Competitive

question 2

Multiple Choice

Table 7.1
$$\begin{array} { | c | c | c | } \hline \text { Quantity } & \begin{array} { c } \text { Total Cost } \\\text { (dollars) }\end{array} & \begin{array} { c } \text { Variable Cost } \\\text { (dollars) }\end{array} \\\hline 0 & \$ 1000 & \$ 0 \\\hline 100 & 1360 & 360 \\\hline 200 & 1560 & 560 \\\hline 300 & 1960 & 960 \\\hline 400 & 2760 & 1760 \\\hline 500 & 4000 & 3000 \\\hline 600 & 5800 & 4800 \\\hline\end{array}$$ Table 7.1 shows the short-run cost data of a perfectly competitive firm that produces plastic camera cases. Assume that output can only be increased in batches of 100 units.
-Refer to Table 7.1.Suppose the fixed cost of production rises by $500 and the price per unit is still $8.What happens to the firm's profit-maximising output level?

• A) It must fall.
• B) It must rise to offset the increased cost.
• C) It will remain the same.
• D) The firm will shut down.

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Definitions:

Confidence Interval

An aggregate of values, concluded from statistical review of samples, assumed to likely house the unknowable value of a population parameter.

Prediction Interval

A range of values that is likely to include the value of an unknown parameter for a future observation with a specified probability.

Heteroscedasticity

A condition in regression analysis where the variance of errors or the variability of a dependent variable is unequal across all levels of an independent variable.

Residuals

The differences between observed values and the values predicted by a model, indicating the error in predictions.