Answer:
C. 91,000 74,000
Explanation:
Calculation to determine the choices that correctly expresses the total equivalent units of production for Material X and Material Y
Calculation for Material X using this formula
Material X = Started and completed + Ending Work-in-process inventory
Let plug in the formula
Material X = 74,000 units + 17,000 units
Material X = 91,000 units
Therefore Material X will be 91,000 units
Calculation for Material Y
Based on the information given Material Y will be 74,000 units reason been that Y is added at the 80% point while the current point on the other hand is 30%.
Therefore Material Y will be 74,000 units.
Answer: 1) Drawer = B. Writer of the check. A drawer is who signs the check.
2) Drawee = F. payee. The check is in favor of this person.
3) Endorsement = D. transfer the check.
4) Post-dated check = E. future date. It is a check that can be cashed from a future date.
5) Prove cash = C. reconcile the bank statement.
7) Imaged check = A. substitute check.
If Austin can produce potato chips at a lower opportunity cost than William, then Austin has a comparative advantage in the production of potato chips.
Comparative advantage refers to a situation in which an individual, business or country can produce a good or service at a lower opportunity cost than another producers or businesses.
In production a lower opportunity cost creates a comparative advantage. So here in this situation a comparative advantage in one good implies a comparative disadvantage in another.
Hence, comparative advantage is the ability of a producer to produce a good or service for a lower opportunity cost than its competitor.
To learn more about comparative advantage here:
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The statement in the question is True.
<u>Explanation:</u>
In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.
A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.