Answer:
Correct option is B.
<u> The weight of debt for WACC purposes is 23.08%</u>
Explanation:
Amount of debt = 2 million x 0.90
= 1.80 million
Amount of equity = 2 million x 3
= 6 million
Weight of debt = amount of debt/ (amount of debt + amount of equity)
= 1.80 million / ( 6 million + 1.80 million)
=23.08%
Answer: Corporate Social Responsibility
Explanation:
The corporate social responsibility is one of the type business model that supporting the various types applications which is ethically oriented and it also manage all the functions in an organization.
The main objective of the corporate social responsibility is that it helps in boost the morale of an employee and also helps in increase productivity of the company.
According to the given question, the shoes firm TOMS denote the shoes to the needy children and this is one of the example of the corporate social responsibility in an organization.
Therefore, Corporate Social Responsibility is the correct answer.
Answer:
Interest expense for the year: 33,590.33
Explanation:
face value $ 300,000
rate 9%
time 15 years
issued at $ 201, 136
discount: $ 98, 864
amortization per year under straight-line: the discount is equally distributed for each period
98,864 / 15 = 6,590.33
<u><em>interest expense per year:</em></u>
face value x rate + amortization:
300,000 x 0.09 + 6,590.33 = <em>33,590.33</em>
Answer:
Decrease by 50.
Explanation:
Estimated regression equation was:
Crime = 428 + 0.050 Income
Above regression equation says that if there is an increase in the income level by $1 then as a result crime increases by 5% which shows that there is a direct relationship between the income level and crime level.
Hence, if Income decreases by 1000, then we would expect that Crime will decreases by:
= 0.050 × 1,000
= 50
Decrease by 50.
Answer:
<em>Sales Data mining</em>
Explanation:
Data mining <em>is a method that businesses use to make useful knowledge about raw data.</em>
Companies can learn more about their customers by using technology to scan trends in large batches of information to create more effective marketing campaigns, increase revenue and decrease costs.
Data mining is based on efficient data collection, storage and processing of computers.