Answer:
B. The Sherman Act allows the US government to regulate activities that restrain competition and trade
Explanation:
The Sherman Antitrust Act of 1890 was first legislation enacted by US congress. It was brought into force to regulate competition and trade among enterprises. This act prohibits agreement in restraint of trade or interference of power in trade like price fixing, bid rigging, etc.
The Sherman Act did not work for long as it restrict the business merger and people are confused about knowing the motive of the act as it is not designed properly.
Answer:
Multi-level marketing.
Explanation:
A business organization that is run with multi-level marketing strategy typically has 3 sources of income:
- The amount of money that each person have to pay in order to gain the membership status.
- The amount of money that memberships owners have to pay to be a distributor of their product
- The amount of money that they get from the sales of their product.
Most multi-level marketing companies will provide their members with some sort of 'Reward' if they managed to convert other people into purchasing memberships to organization. So, the more their members convert other people, the more wealthy that members will be. This will create a hierarchy like within an organization where the members who bring the most memberships place at the top of the hierarchy.
Answer:
This indicates that
d.the company has a net loss of $9,575 for the period.
Explanation:
a) Data and Calculations:
Total debits of the balance sheet (assets) = $28,480
Total credits of the balance sheet (liabilities + equity) = $38,055
Difference (net loss) = $9,575 ($38,055 - $28,480)
b) With the determination of the net loss of $9,575, the two sides (debits and credits) of the balance sheet will equal. This is because the net loss of $9,575 will reduce the credits from $38,055 to $28,480.
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
