Answer:
<h2>The Average cost usually decreases as the output expands.Hence,the answer in this case would be option c. or will always decrease as output expands.</h2>
Explanation:
- Fixed costs or expenses of production refers to those that are fixed or constant through out the production process or does not depend on the changes or adjustments in the actual output or production level.
- Some of the common examples of fixed cost of production include building rent,utility bills,land rent,insurance and interest payments.Note that these costs and expenses are fixed and unchanged and any firm or company has to pay them regardless of the production or output level.
- Now,since the average fixed cost of production is calculated by dividing the total fixed cost of production by the quantity of output produced by the firm at any particular period of time,the average fixed cost of production will decrease.As the output expands the denominator of the average fixed cost formula will increase but note that the numerator of the formula or the total fixed cost of production will always remain constant.Therefore,the average cost of production keeps decreasing with an increase in output or production level,signifying economies of scale.
<u>The vertical analysis</u> identifies the relative contribution made by each financial statement line item.
<h3><u>Vertical Analysis: What Is It?</u></h3>
Each line item is provided as a percentage of a base figure in the statement as part of a technique called vertical analysis for financial statement analysis. As a result, line items on an income statement and balance sheet can both be expressed as a percentage of gross sales, a percentage of total assets or liabilities, and a percentage of total assets or liabilities, respectively. Vertical analysis of a cash flow statement also displays each cash inflow or outflow as a percentage of total cash inflows.
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One needs to create interactions between all of the following EXCEPT option B. high school and college. since, the model is using job tenure, it is the only option without work experience.
<h3>What is a 2nd Order Model for a regression model?</h3>
The polynomial regression model has one, two, or more than two predictor variables. Each predictor variable may be present in various powers. This polynomial model is called a second-order with one predictor variable because the single predictor variable is expressed in the model to the first and second powers.
Therefore, the only predictor variable in all other options is job experience. However, option C. does not have the dominating variable.
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