Answer:
25.3%
Explanation:
The expected return can be determined using the capital asset pricing model
The expected return = risk free return + (risk premium x beta)
11.5% + (1.15 x 12%) = 25.3%
Answer:
(C) $ 120,000
Explanation:
In the consolidated income statement, the net income is usually shared between the shareholders with controlling interest and the non-controlling interest. The sharing is done based on percentage holding.
Hence if Putter Corporation owns 80 percent of the voting common shares of Sand Corporation, the non controlling interest will be 20%
Let the net income reported be g
20% of g = $24,000
g = $24,000/0.2
g = $120,000
1. Modernization
2. An increase in people's interest in technology, making it soon become an item for sale.
3. Increasing the benefit of these industries (The benefit being financially)
Answer: B
Explanation: theyre human and a resourc
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.