Answer:
d. Selling Price
Explanation:
Break even point is calculated as 
Thus, break even point in units only in two cases,
- Fixed cost is reduced that is decreased,
- Contribution per unit is increased.
Now, here the options are
a. Increase in units sales volume is of no relevance as will not impact the fixed cost or contribution per unit.
b. Increase in fixed cost will result in higher break even point, as numerator in the fraction will increase.
c. Increase in unit variable cost will ultimately decrease the contribution thus, it is of no relevance.
d. Increase in selling price will increase the contribution per unit, that is the increase in denominator value in fraction, thus, break even units will decrease.
Correct option is
d. Selling Price
Answer:
its cold outside thats the answer
Explanation:
Answer:
$5,258,333
Explanation:
Arlington Company weighted-average accumulated expenditures
March 1 Expenditure $3,333,333
($4,000,000 ×10/12)
Add June 1 Expenditure $1,925,000
($3,300,000 ×7/12)
Add Dec 31 Expenditure $0
($5,000,000 ×0/12)
Weighted-average accumulated expenditures $5,258,333
($3,333,333+$1,925,000)
The statement <u>A. Grayson is underemployed</u> best describes the Grayson's situation.
<u>Explanation</u>:
A person is said to be underemployed if he works for low wage or works for the job that does not make use of his skills.
Underemployment occurs due to excess of labor availability in-spite of work demand. The technological change may also cause underemployment. Underemployment causes due to decline in the economy.
In the above scenario, Grayson was underemployed due to downturn in the economy. He previously worked as a field technician but he was laid off due to decline in economy. Later he was appointed as stock employee at Home Depot.
Answer:
a. Is the expected value of the dependent variable Y when all of the independent variables have the value zero
Explanation:
- This regression is the extension of the simple linear regression and is used when we want to define the values of the variable based on the values of the two or more variables and constant terms in the regression analysis are the values at which the regression line crosses at the Y-axis.
