Answer:
Dr. Cash $250,000
Cr. Bond Payable $250,000
Explanation:
Bonds issued are the liabilities for the company because it company received cash against the bonds which will be paid at maturity along with the interest.
As cash is an asset and it is being received, to increase the value of cash balance we debited the cash account. The bond is a liability and to add a value in a liability account we need to credit the bond payable account.
Answer:
The answer is $3,237billions
Explanation:
Gross Domestic Product is the market value of all final goods and services produced within a country during a given period of time usually a year.
The formula is:
G + I + C + (X-M)
where G is government expenditure or purchases
I is private domestic investment
C is personal consumption expenditure
X is export
M is imports.
Therefore, GDP is
$470 + $320 + $2,460 + ($22-$35)
$3,250 - $13
$3,237billions.
Answer:
5.403%
Explanation:
Calculation for the expected return on the market
Using this formula
Expected return =(Expected return-Risk-free rate of return)/Stock beta +Risk-free rate of return
Where,
Expected return=12.10%
Risk-free rate of return=4.6%
Stock beta =1.40%
Let plug in the formula
Expected return =(0.121-0.046)/0.014+0.046
Expected return =0.075/0.014+0.046
Expected return=5.357+0.046
Expected return =5.403%
Therefore the expected return on the market will be =5.403
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.
Answer:
Based on what we know, Viral Marking is so successful because it creates curiosity and desire needed to generate the demand for a product or a service.
In conclusion:
Yes, viral marketing is consistently successful.
