Answer:
EIN; employer idenification number.
Explanation:
hope this helps :)
Answer:
A. 14
Explanation:
the researcher claims that the width of the interval would have been smaller if the sample had been different, and in this case different refers to larger. The original sample included only 15 people, so in order to increase the data sample, you must include more than 15 people. That is why 14 doesn't make sense.
Answer:
b. quantity with price as the explanatory variable because the demand curve is linear.
Explanation:
A linear demand curve can be defined as the graphical representation of the relationship between the quantity of goods or services that are being demanded by the consumers and the price of the goods or services at a specific period of time.
Generally, the x-axis of the graph is used to represent the price of the goods or services while the y-axis of the graph is used to represent the quantity of goods or services that are being demanded by the customers at a specific period of time.
In this scenario, You work for a firm producing fitness equipment and have been informed that the demand curve for the firm's main product, a multi-station home gym, is linear. Also, you have been provided with price and quantity data obtained from focus groups and have been asked to run a regression of revenue on price.
Hence, a linear functional form can properly be used to estimate quantity with price as the explanatory variable because the demand curve is linear.
Additionally, according to the law of demand, as the price of a particular product or service increases, there will be a decrease in the quantity that is being demanded by the consumers.
Answer:
Margin of safety= $2,651
Explanation:
Giving the following information:
Awanita Enterprises sells computer flash drives for $ 2.41 per unit. Unit variable cost is $ 0.07. The breakeven point in units is 3,400, and expected sales in units are 4,500
Margin of safety= 4,500*2.41 - 3,400*2.41= $2,651
Answer:
63.09%
Explanation:
Note <em>Missing question is attached as picture below</em>
Average total assets = (Opening total assets+Closing total assets)/2
Average total assets = ($396,000 + $257,000) / 2
Average total assets = $653,000 / 2
Average total assets = $326,500
Return on total assets = (Net income + Interest expense)/Average total assets
Return on total assets = ($181,000 + $25,000) / $326,500
Return on total assets = $206,000 / $326,500
Return on total assets = 0.6309342
Return on total assets = 63.09%
