Consider the following time series data.
| Quarter | Year 1 | Year 2 | Year 3 |
| 1 | 4 | 6 | 7 |
| 2 | 2 | 3 | 6 |
| 3 | 3 | 5 | 6 |
| 4 | 5 | 7 | 8 |
| (a) | Choose the correct time series plot. | ||||||||||||
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| - Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item 1 | |||||||||||||
| What type of pattern exists in the data? | |||||||||||||
| - Select your answer -Only randomnessRandomness & Linear trendRandomness & SeasonalityRandomness, Linear trend & SeasonalityItem 2 | |||||||||||||
| (b) | Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. | ||||||||||||
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) If the constant is "1" it must be entered in the box. Do not round intermediate calculation. | |||||||||||||
| Value = + Qtr1 + Qtr2 + Qtr3 | |||||||||||||
| (c) | Compute the quarterly forecasts for next year based on the model you developed in part (b). | ||||||||||||
| If required, round your answers to three decimal places. Do not round intermediate calculation. | |||||||||||||
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| (d) | Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for Quarter 1 in Year 1, t = 2 for Quarter 2 in Year 1,… t = 12 for Quarter 4 in Year 3. | ||||||||||||
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) | |||||||||||||
| Value = + Qtr1 + Qtr2 + Qtr3 + t | |||||||||||||
| (e) | Compute the quarterly forecasts for next year based on the model you developed in part (d). | ||||||||||||
| Do not round your interim computations and round your final answer to three decimal places. | |||||||||||||
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| (f) | Is the model you developed in part (b) or the model you developed in part (d) more effective? | ||||||||||||
| If required, round your intermediate calculations and final answer to three decimal places. | |||||||||||||
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| - Select your answer -Model developed in part (b)Model developed in part (d)Item 22 | |||||||||||||
| Justify your answer. | |||||||||||||
| The input in the box below will not be graded, but may be reviewed and considered by your instructor. | |||||||||||||
In: Statistics and Probability
Consider the following time series data.
| Quarter | Year 1 | Year 2 | Year 3 |
| 1 | 2 | 5 | 7 |
| 2 | 0 | 2 | 6 |
| 3 | 5 | 8 | 10 |
| 4 | 5 | 8 | 10 |
| (b) | Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. | ||||||||||||||||||||
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) If the constant is "1" it must be entered in the box. Do not round intermediate calculation. | |||||||||||||||||||||
| ŷ = + Qtr1 + Qtr2 + Qtr3 | |||||||||||||||||||||
| (c) | Compute the quarterly forecasts for next year based on the model you developed in part (b). | ||||||||||||||||||||
| If required, round your answers to three decimal places. Do not round intermediate calculation. | |||||||||||||||||||||
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| (d) | Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for Quarter 1 in Year 1, t = 2 for Quarter 2 in Year 1,… t = 12 for Quarter 4 in Year 3. | ||||||||||||||||||||
| If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) | |||||||||||||||||||||
| ŷ = + Qtr1 + Qtr2 + Qtr3 + t | |||||||||||||||||||||
| (e) | Compute the quarterly forecasts for next year based on the model you developed in part (d). | ||||||||||||||||||||
| Do not round your interim computations and round your final answer to three decimal places. | |||||||||||||||||||||
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| (f) | Is the model you developed in part (b) or the model you developed in part (d) more effective? | ||||||||||||||||||||
| If required, round your intermediate calculations and final answer to three decimal places. |
In: Statistics and Probability
Consider the following time series data.
| Quarter | Year 1 | Year 2 | Year 3 |
| 1 | 3 | 6 | 8 |
| 2 | 2 | 4 | 8 |
| 3 | 4 | 7 | 9 |
| 4 | 6 | 9 | 11 |
.
(a) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise.
If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) If the constant is "1" it must be entered in the box. Do not round intermediate calculation.
| ŷ = ____ + ____Qtr1 + ____ Qtr2 + ___ Qtr3 |
.
(b) Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t = 1 for Quarter 1 in Year 1, t = 2 for Quarter 2 in Year 1,… t = 12 for Quarter 4 in Year 3.
If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
| ŷ =__ + __Qtr1 + ___Qtr2 + ___Qtr3 + ____t |
.
(c) Is the model you developed in part (b) or the model you developed in part (d) more effective?
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If required, round your intermediate calculations and final answer to three decimal places.
Which is better model developed in part (B) or (D) Justify your answer with a 2 sentence response |
In: Statistics and Probability
QUESTION 14
[Q14-17] Your firm has a free cash flow of $300 at year 1, $360
at year 2, and $864 at year 3. After three years, the firm will
cease to exist. As of today (i.e. at year 0), the firm is partially
financed with a 1-year maturity debt, whose face value is $660 and
interest rate is 10%. After the debt matures at year 1, the firm
will not issue any more debt and will remain unlevered. Assume that
the firm’s unlevered cost of capital is 20%, and the firm’s cost of
debt is identical to the interest rate on the debt (i.e. 10%). The
corporate tax rate is 40%.
What is the firm’s enterprise value if the firm were unlevered?
| A. |
$1,524 |
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| B. |
$1,012 |
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| C. |
$1,024 |
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| D. |
$1,000 |
QUESTION 15
What is the discount rate for the interest tax shield?
| A. |
Cost of unlevered equity |
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| B. |
WACC |
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| C. |
Cost of levered equity |
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| D. |
Cost of debt |
QUESTION 16
What is the present value of the interest tax shield?
| A. |
$66 |
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| B. |
$33 |
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| C. |
$12 |
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| D. |
$24 |
QUESTION 17
What is the firm’s enterprise value?
| A. |
$1,524 |
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| B. |
$1,024 |
|
| C. |
$1,012 |
|
| D. |
$1,000 |
Please help solve above questions and show work.
In: Finance
Consider the following time series data.
Quarter Year 1 Year 2 Year 3
1 4 6 7
2 2 3 6
3 3 5 6
4 5 7 8
1.plot with line dot chart.
2.What type of pattern exists in the data?
a.Upward Trend Patter,
b. Downward Trend Pattern
c. Horizontal Pattern With Seasonality.
3.Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
a. Value = ( ) + ( ) Qtr1 + ( ) Qtr2 + ( ) Qtr3 + t
4.Compute the quarterly forecasts for next year. If required, round your answers to two decimal places.
In: Statistics and Probability
4. Consider the following time series:
| Quarter | Year 1 | Year 2 | Year 3 |
| 1 | 80 | 74 | 65 |
| 2 | 69 | 61 | 51 |
| 3 | 48 | 50 | 43 |
| 4 | 68 | 71 | 82 |
a. Construct a time-series plot. What type of pattern exists in the data? Is there an indication of a seasonal pattern? (10 points)
b. Use multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if quarter 1, 0 else; Qtr2 = 1 if quarter 2, 0 else; Qtr3 = 1 if quarter 3, 0 else. (20 points)
c. Compute the quarterly forecasts for next year. (10 points)
In: Statistics and Probability
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In: Finance
|
Year 1 |
year 2 | year 3 | |
| Sales Units | 2500 | 2750 | 2900 |
| sales Price Unit | $150.00 | $ 150.00 | $ 150.00 |
| REVENUE | $185,000 | $250,000 | $440,000 |
| $375,000.00 | $ 412,500.00 | $ 435,000.00 | |
| Variable Costs: | |||
| Direct Materials | $20.00 | $20.50 | $26.01 |
| Direct Labor | $17.15 | $17.60 | $19.22 |
| Variable OH |
$2.50 |
$2.53 | $2.55 |
| Fixed Costs: | |||
| Rent | 80,000 | $80,000 | $80,000 |
| Supervision | 200,000 | $205,000 | $210,250 |
| Mixed Costs: | |||
| Utilites-Fixed | 20,000 | 20,000 | 20,000 |
| Utilities-Variable | $2.50 | $2.50 | $2.50 |
| Total Costs: | |||
| Variable cost per unit | $42.15 | $43.13 | $50.28 |
| Fixed Costs | $300,000 | $305,000 | $310,250 |
| Contribution Margin | 3.74 | 4.12 | 4.34 |
| 37% | 41% | 43% | |
| Breakeven: | |||
| Sales Units | |||
| Sales Revenue | |||
| Margin of Safety: | |||
| What would be the margin of safety and the breakeven sales units and sale revenue |
im not understanding what details are wrong ? |
In: Accounting
LO 2) Aston Corporation performs year-end planning in November of each year before its calendar year ends in December. The preliminary estimated net income is $3 million. The CFO, Rita Warren, meets with the company president, J. B. Aston, to review the projected numbers. She presents the following projected information.
|
ASTON CORPORATION PROJECTED INCOME STATEMENT FOR THE YEAR ENDED DECEMBER 31, 2017 |
||
|---|---|---|
|
Sales |
$28,995,000 |
|
|
Interest revenue |
5,000 |
|
|
Cost of goods sold |
$14,000,000 |
|
|
Depreciation |
??2,600,000 |
|
|
Operating expenses |
??6,400,000 |
?23,000,000 |
|
Income before income tax |
6,000,000 |
|
|
Income tax |
??3,000,000 |
|
|
Net income |
$?3,000,000 |
|
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ASTON CORPORATION SELECTED BALANCE SHEET INFORMATION AT DECEMBER 31, 2017 |
|
|---|---|
|
Estimated cash balance |
$?5,000,000 |
|
Available-for-sale debt investments (at cost) |
?10,000,000 |
|
Fair value adjustment (1/1/17) |
—0— |
Estimated fair value at December 31, 2017:
|
Security |
Cost |
Estimated Fair Value |
|---|---|---|
|
A |
$?2,000,000 |
$?2,200,000 |
|
B |
??4,000,000 |
??3,900,000 |
|
C |
??3,000,000 |
??3,100,000 |
|
D |
??1,000,000 |
??1,800,000 |
|
Total |
$10,000,000 |
$11,000,000 |
Other information at December 31, 2017:
|
Equipment |
$3,000,000 |
|
Accumulated depreciation (5-year SL) |
1,200,000 |
|
New robotic equipment (purchased 1/1/17) |
5,000,000 |
|
Accumulated depreciation (5-year DDB) |
2,000,000 |
The corporation has never used robotic equipment before, and Warren assumed an accelerated method because of the rapidly changing technology in robotic equipment. The company normally uses straight-line depreciation for production equipment.
Aston explains to Warren that it is important for the corporation to show a $7,000,000 income before taxes because Aston receives a $1,000,000 bonus if the income before taxes and bonus reaches $7,000,000. Aston also does not want the company to pay more than $3,000,000 in income taxes to the government.
Instructions
(a)
What can Warren do within GAAP to accommodate the president's wishes to achieve $7,000,000 in income before taxes and bonus? Present the revised income statement based on your decision.
(b)
Are the actions ethical? Who are the stakeholders in this decision, and what effect do Warren's actions have on their interests?
In: Accounting
LO 2) Aston Corporation performs year-end planning in November of each year before its calendar year ends in December. The preliminary estimated net income is $3 million. The CFO, Rita Warren, meets with the company president, J. B. Aston, to review the projected numbers. She presents the following projected information.
|
ASTON CORPORATION PROJECTED INCOME STATEMENT FOR THE YEAR ENDED DECEMBER 31, 2017 |
||
|---|---|---|
|
Sales |
$28,995,000 |
|
|
Interest revenue |
5,000 |
|
|
Cost of goods sold |
$14,000,000 |
|
|
Depreciation |
??2,600,000 |
|
|
Operating expenses |
??6,400,000 |
?23,000,000 |
|
Income before income tax |
6,000,000 |
|
|
Income tax |
??3,000,000 |
|
|
Net income |
$?3,000,000 |
|
|
ASTON CORPORATION SELECTED BALANCE SHEET INFORMATION AT DECEMBER 31, 2017 |
|
|---|---|
|
Estimated cash balance |
$?5,000,000 |
|
Available-for-sale debt investments (at cost) |
?10,000,000 |
|
Fair value adjustment (1/1/17) |
—0— |
Estimated fair value at December 31, 2017:
|
Security |
Cost |
Estimated Fair Value |
|---|---|---|
|
A |
$?2,000,000 |
$?2,200,000 |
|
B |
??4,000,000 |
??3,900,000 |
|
C |
??3,000,000 |
??3,100,000 |
|
D |
??1,000,000 |
??1,800,000 |
|
Total |
$10,000,000 |
$11,000,000 |
Other information at December 31, 2017:
|
Equipment |
$3,000,000 |
|
Accumulated depreciation (5-year SL) |
1,200,000 |
|
New robotic equipment (purchased 1/1/17) |
5,000,000 |
|
Accumulated depreciation (5-year DDB) |
2,000,000 |
The corporation has never used robotic equipment before, and Warren assumed an accelerated method because of the rapidly changing technology in robotic equipment. The company normally uses straight-line depreciation for production equipment.
Aston explains to Warren that it is important for the corporation to show a $7,000,000 income before taxes because Aston receives a $1,000,000 bonus if the income before taxes and bonus reaches $7,000,000. Aston also does not want the company to pay more than $3,000,000 in income taxes to the government.
Instructions
(a)
What can Warren do within GAAP to accommodate the president's wishes to achieve $7,000,000 in income before taxes and bonus? Present the revised income statement based on your decision.
(b)
Are the actions ethical? Who are the stakeholders in this decision, and what effect do Warren's actions have on their interests?
In: Accounting