Answer:
The statement is: True.
Explanation:
Bankruptcy<em> </em><em>is the legal state of a person or company which has become permanently insolvent or, in other words, incapable of repaying unpaid debts on time.</em> Although there are several forms of bankruptcy filings, this procedure is intended to determine a structured and equitable settlement of debt obligations.
Bankruptcy proceedings may start with a petition filed by a borrower or when a petition is filed on behalf of a company's creditors.
Answer:
$41,400
Explanation:
Calculation for Paper Clip Company Operating income
OPERATING NET INCOME for Paper Clip Company
Sales revenue 164,800
Less: Purchases of merchandise (89,900)
Utilities for the store (9,600)
Sales commission (10,100)
Rent for store (13,800)
Operating net income $41,400
Therefore the Operating net income will be $41,400
Answer:
The total opportunity cost of investing in the business is explained below:
Explanation:
Opportunity cost is also known as alternative cost, the cost incurred from giving up one benefit for an alternative. Kelly withdrew 1000$ from his account, which was giving him a 3% profit annually, and the total opportunity cost of withdrawing 1000$ is 30$ annually. Similarly, he withdrew another 2000$ at 7% interest rate that is 140$which he has to pay annually.
30$ + 140$ =170$
The total annual opportunity cost is 170$
Answer:
The Correlation analysis “R” is measured to compute the strength of relationship among variables. Moreover, the value of correlation is calculated among -1 to +1. Which implies that if the computed value is near to -1 then there will be strong but negative relation and if near to +1 then it is strong but relation among the variable. However zero is consider as neutral point.
A. The computed value of correlation is - 0.772. The value identifies that that there is a strong but negative association among the variables (GDP and infant mortality rate).
B. The correlation analysis cannot computed among the variables continent and GDP because "continent" is a categorical variable not quantitative.
C. The computed value of correlation is higher than 1. Thus, the statement implies that there is a very strong relationship among life expectancy and GDP which is incorrect. As the association cannot be higher than 1.
D. There is a strong relationship among literacy rate and GDP as the relationship is nearer to 1. Furthermore, the association among literacy rate and GDP doesn’t suggest the causation.
E. The computed correlation among the variables is 0.90. Which indicated that the variables goes up. That is, when the GDP goes down the import is also decrease and when GDP increases the import increases Thus, the there is a positive correlation.
