Answer:
$906.30
Explanation:
Face value (FV) = $1000
Coupon payment (C) = 7% of $1000 = $70
Yield to maturity (r) = 8% = 0.08
t = 18
Number of compounding periods (n) = 1 (annually)
Using the relation:
C[( 1 - (1 + r/n)^-nt) / (r/n)] + FV / (1 + r/n)^nt
70[(1 - (1 + 0.08)^-1*18) / (0.08/1)] + 1000 / (1 + 0.08/1)^1*18
70[1 - (1.08)^-18) / 0.08] + 1000 / 1.08^18
70[(1 - 0.2502490)/0.08] + (1000 / 3.99601949918)
70(9.3718871) + 250.24902
= $906.281117
= $906.30
B clothing, entertainment, and health care
Answer:
The predicted value of Revenue is $98.24.
Explanation:
The data provided is for the weekly gross revenue, the amount of television advertising and the amount of newspaper advertising.
Determine the regression equation developed to estimate the amount of weekly gross revenue based on television advertising using Excel.
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv.
The estimated regression equation with the amount of television advertising as the independent variable is:
<em>Revenue </em>= 89.31 + 1.27 <em>TVAdv</em>
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv. & News Adv.
The estimated regression equation with both television advertising and newspaper advertising as the independent variables is:
<em>Revenue </em>= 83.78 + 1.78 <em>TVAdv</em> + 1.47 <em>NewsAdv </em>
For TVAdv = $4.9 and NewsAdv = $3.9 predict the value of Revenue as follows:
![\text{Revenue} = 83.78 + 1.78\ \text{TVAdv} + 1.47\ \text{NewsAdv}](https://tex.z-dn.net/?f=%5Ctext%7BRevenue%7D%20%3D%2083.78%20%2B%201.78%5C%20%5Ctext%7BTVAdv%7D%20%2B%201.47%5C%20%5Ctext%7BNewsAdv%7D)
![=83.78 + (1.78 \times 4.9) + (1.47 \times 3.9)\\\\=98.235\\\\\approx 98.24](https://tex.z-dn.net/?f=%3D83.78%20%2B%20%281.78%20%5Ctimes%204.9%29%20%2B%20%281.47%20%5Ctimes%203.9%29%5C%5C%5C%5C%3D98.235%5C%5C%5C%5C%5Capprox%2098.24)
Thus, the predicted value of Revenue is $98.24.
Answer:
B
Explanation:
Real GDP measure total economic output by an economy in a specific geographical boundary regardless of ownership of factors of production, within a year, ceteris paribus.
Real GDP is a good indicator but is not a perfect indicator as underground economy (private tuition whereby taxes and consumption of goods and services) are not accounted for.
Real GDP does not measure Non-Material standard of living like leisure hours, health and life expectancy... It needs other indicators.
Both B and D is a bit effy as:
For D, GDP does not even measure such Non-Material SOL
For B, GDP is not 100 percent accurate on measuring household production (local production? I believe there is no such phrasing as household production as by economics, household is involved in household spending, Contributing to Consumption expenditure in Aggregate Demand.) as there are other factors like presence of underground economy that is not accounted for.
However, B seems like the most accurate ans as it still measures national output.
Answer: Is the business manegement?
Explanation: If what unit and lesson i did all