Lavage Rapide is a Canadian company that owns and operates a large automatic car wash facility near Montreal. The following table provides data concerning the company’s costs:
| Fixed Cost per Month |
Cost per Car Washed |
||||||
| Cleaning supplies | $ | 0.70 | |||||
| Electricity | $ | 1,300 | $ | 0.06 | |||
| Maintenance | $ | 0.15 | |||||
| Wages and salaries | $ | 4,700 | $ | 0.30 | |||
| Depreciation | $ | 8,200 | |||||
| Rent | $ | 1,900 | |||||
| Administrative expenses | $ | 1,600 | $ | 0.02 | |||
For example, electricity costs are $1,300 per month plus $0.06 per car washed. The company expects to wash 8,300 cars in August and to collect an average of $6.20 per car washed.
The actual operating results for August appear below.
| Lavage Rapide | ||
| Income Statement | ||
| For the Month Ended August 31 | ||
| Actual cars washed | 8,400 | |
| Revenue | $ | 53,560 |
| Expenses: | ||
| Cleaning supplies | 6,310 | |
| Electricity | 1,768 | |
| Maintenance | 1,485 | |
| Wages and salaries | 7,550 | |
| Depreciation | 8,200 | |
| Rent | 2,100 | |
| Administrative expenses | 1,666 | |
| Total expense | 29,079 | |
| Net operating income | $ | 24,481 |
Required:
Prepare a flexible budget performance report that shows the company’s revenue and spending variances and activity variances for August. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)
Lavage Rapide is a Canadian company that owns and operates a large automatic car wash facility near Montreal. The following table provides data concerning the company’s costs:
| Fixed Cost per Month |
Cost per Car Washed |
||||||
| Cleaning supplies | $ | 0.70 | |||||
| Electricity | $ | 1,300 | $ | 0.06 | |||
| Maintenance | $ | 0.15 | |||||
| Wages and salaries | $ | 4,700 | $ | 0.30 | |||
| Depreciation | $ | 8,200 | |||||
| Rent | $ | 1,900 | |||||
| Administrative expenses | $ | 1,600 | $ | 0.02 | |||
For example, electricity costs are $1,300 per month plus $0.06 per car washed. The company expects to wash 8,300 cars in August and to collect an average of $6.20 per car washed.
The actual operating results for August appear below.
| Lavage Rapide | ||
| Income Statement | ||
| For the Month Ended August 31 | ||
| Actual cars washed | 8,400 | |
| Revenue | $ | 53,560 |
| Expenses: | ||
| Cleaning supplies | 6,310 | |
| Electricity | 1,768 | |
| Maintenance | 1,485 | |
| Wages and salaries | 7,550 | |
| Depreciation | 8,200 | |
| Rent | 2,100 | |
| Administrative expenses | 1,666 | |
| Total expense | 29,079 | |
| Net operating income | $ | 24,481 |
Required:
Prepare a flexible budget performance report that shows the company’s revenue and spending variances and activity variances for August. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)
Lavage rapide
Flexibgle Budget Performance Report
For the the Month Ended August 31
| actual results | revenue and speanding variances | flexible budget | activity variance | planning budget | |||
|---|---|---|---|---|---|---|---|
| cars washed | 8,400 | ||||||
| revenue | 53560 | F | |||||
| expenses | |||||||
| cleaning supplies | 6310 | u | |||||
| electricty | 1768 | f | |||||
| maintenance | 1485 | u | |||||
| wages and salaries | 7550 | ||||||
| depreciation | 8200 | ||||||
| rent | 2100 | ||||||
| adminsitrative expenses | 1666 | ||||||
| total expense | 29079 | ||||||
| net operating income | 24481 |
In: Accounting
In: Economics
Question 2
Mark Limited is an investment company that purchases buildings and
holds them for a, number
of purposes, such as resale, leasing and its own use.
On 1 January 2019, Mark Limited purchased an old building, Mark
Towers, for N$300 000.
Conveyancer’s fees amounted to N$20 000
• This building is situated in an isolated part of Durban (South
Africa) and there is no
development anywhere nearby. At the time of purchase, there had
been no property
transactions in this area for many years and the possibility of
leasing the building to tenants
was remote.
• During November 2019, development began of a new industrial park
in the area. As a
result, the building was able to be leased to tenants involved in
the development of the
industrial park. Due to the influx of people of people into the
area, the directors decided to
paint one side of the buildings with the corporate logo of Mark
Limited.
• This building has never had an air-conditioning system. After
numerous complaints from
tenants about not being able to tolerate the Durban heat, Mark
Limited decided to upgrade
the building by installing a ducted air-conditioning system on 1
December 2019.
The cost of installation included the following:
- Adjustments to the structure of the building 30 000
- Painting 50 000
- Air-conditioning system 200 000
- Installation costs 50 000
The ducted air-conditioning system has a 10 year life and a nil
residual value
• As a result of the new industrial park, there was suddenly a
demand for properties in the
area. As a result, the fair value of Mark Towers was able to be
determined on 31 December
2019 at N$420 000. Mark Limited would like to measure this
investment property at fair
value now that fair values have become available.
• The building has a 10 year useful life and an estimated residual
value of N$50 000
Mark Limited also holds other investment property, which is
measured under the fair value model.
The fair value of this other investment property is as
follows:
• 1 January 2019 N$ 1 000 000
• 31 December 2019 N$ 1 250 000
In: Accounting
Lavage Rapide is a Canadian company that owns and operates a large automatic car wash facility near Montreal. The following table provides estimates concerning the company’s costs:
| Fixed Cost per Month |
Cost per Car Washed |
||||
| Cleaning supplies | $ | 0.70 | |||
| Electricity | $ | 1,400 | $ | 0.08 | |
| Maintenance | $ | 0.10 | |||
| Wages and salaries | $ | 4,100 | $ | 0.40 | |
| Depreciation | $ | 8,300 | |||
| Rent | $ | 2,200 | |||
| Administrative expenses | $ | 1,700 | $ | 0.05 | |
For example, electricity costs should be $1,400 per month plus $0.08 per car washed. The company actually washed 8,200 cars in August and collected an average of $6.50 per car washed.
Required:
Prepare the company’s flexible budget for August.
In: Accounting
Lavage Rapide is a Canadian company that owns and operates a large automatic car wash facility near Montreal. The following table provides data concerning the company’s costs:
| Fixed Cost per Month |
Cost per Car Washed |
||||
| Cleaning supplies | $ | 0.70 | |||
| Electricity | $ | 1,500 | $ | 0.10 | |
| Maintenance | $ | 0.20 | |||
| Wages and salaries | $ | 4,300 | $ | 0.20 | |
| Depreciation | $ | 8,300 | |||
| Rent | $ | 2,000 | |||
| Administrative expenses | $ | 1,300 | $ | 0.02 | |
For example, electricity costs are $1,500 per month plus $0.10 per car washed. The company expects to wash 8,100 cars in August and to collect an average of $6.60 per car washed.
Required:
Prepare the company’s planning budget for August.
In: Accounting
Lavage Rapide is a Canadian company that owns and operates a large automatic car wash facility near Montreal. The following table provides data concerning the company’s costs: Fixed Cost per Month Cost per Car Washed Cleaning supplies $ 0.50 Electricity $ 1,400 $ 0.08 Maintenance $ 0.25 Wages and salaries $ 4,400 $ 0.30 Depreciation $ 8,100 Rent $ 2,000 Administrative expenses $ 1,500 $ 0.03 For example, electricity costs are $1,400 per month plus $0.08 per car washed. The company expects to wash 8,300 cars in August and to collect an average of $6.70 per car washed.
Required: Prepare the company’s planning budget for August.
In: Accounting
The owner of a movie theater company would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
| Weekly Gross Revenue ($1,000s) |
Television Advertising ($1,000s) |
Newspaper Advertising ($1,000s) |
|---|---|---|
| 96 | 5 | 1.5 |
| 90 | 2 | 2 |
| 95 | 4 | 1.5 |
| 93 | 2.5 | 2.5 |
| 95 | 3 | 3.3 |
| 94 | 3.5 | 2.2 |
| 94 | 2.5 | 4.1 |
| 94 | 3 | 2.5 |
(a)
Use α = 0.01 to test the hypotheses
| H0: | β1 = β2 = 0 |
| Ha: | β1 and/or β2 is not equal to zero |
for the model
y = β0 + β1x1 + β2x2 + ε,
where
| x1 | = | television advertising ($1,000s) |
| x2 | = | newspaper advertising ($1,000s). |
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Reject H0. There is insufficient evidence to conclude that there is a significant relationship among the variables
Do not reject H0. There is sufficient evidence to conclude that there is a significant relationship among the variables.
Do not reject H0. There is insufficient evidence to conclude that there is a significant relationship among the variables.
Reject H0. There is sufficient evidence to conclude that there is a significant relationship among the variables.
(b)
Use α = 0.05 to test the significance of
β1.
State the null and alternative hypotheses.
| H0: β1 = 0 |
| Ha: β1 > 0 |
| H0: β1 = 0 |
| Ha: β1 < 0 |
| H0: β1 = 0 |
| Ha: β1 ≠ 0 |
| H0: β1 < 0 |
| Ha: β1 = 0 |
| H0: β1 ≠ 0 |
| Ha: β1 = 0 |
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Reject H0. There is insufficient evidence to conclude that β1 is significant.
Reject H0. There is sufficient evidence to conclude that β1 is significant.
Do not reject H0. There is insufficient evidence to conclude that β1 is significant.
Do not reject H0. There is sufficient evidence to conclude that β1 is significant.
Should x1 be dropped from the model? Yes or No?
(c)
Use α = 0.05 to test the significance of
β2.
State the null and alternative hypotheses.
| H0: β2 < 0 |
| Ha: β2 = 0 |
| H0: β2 = 0 |
| Ha: β2 < 0 |
| H0: β2 = 0 |
| Ha: β2 ≠ 0 |
| H0: β2 ≠ 0 |
| Ha: β2 = 0 |
| H0: β2 = 0 |
| Ha: β2 > 0 |
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Do not reject H0. There is insufficient evidence to conclude that β2 is significant.
Reject H0. There is sufficient evidence to conclude that β2 is significant.
Reject H0. There is insufficient evidence to conclude that β2 is significant.
Do not reject H0. There is sufficient evidence to conclude that β2 is significant.
Should x2 be dropped from the model?Yes or No ?
In: Statistics and Probability
Given numRows and numColumns, print a list of all seats in a theater. Rows are numbered, columns lettered, as in 1A or 3E. Print a space after each seat, including after the last. Use separate print statements to print the row and column. Ex: numRows = 2 and numColumns = 3 prints:
1A 1B 1C 2A 2B 2C
import java.util.Scanner;
public class NestedLoops {
public static void main (String [] args) {
Scanner scnr = new
Scanner(System.in);
int numRows;
int numColumns;
int currentRow;
int currentColumn;
char currentColumnLetter;
numRows = scnr.nextInt();
numColumns = scnr.nextInt();
/* Your solution goes here */
System.out.println("");
}
}
In: Computer Science
Tan Rocks, an outdoor theater, has suspended their dividend to conserve capital for the rest of their fiscal year (May 1 to May 1) since they do not anticipate being open this summer. Management is assuming the Covid19 effects will continue for each of the next two seasons as well before returning to normal. As such they estimate next year’s dividend to be $1 per share (2021) and it will increase to $1.50 a share the following year (2022). The dividend will return to $2.50 a share in 2023. If the dividend’s historical growth of 3 percent a year returns to normal after 2023 and the required rate of return on the stock of Tan Rocks is 10 percent, what should be their current stock value be based on these assumptions and projections?
Please explain work clearly, thanks
In: Finance
The owner of a movie theater company would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks follow.
| Weekly Gross Revenue ($1,000s) |
Television Advertising ($1,000s) |
Newspaper Advertising ($1,000s) |
|---|---|---|
| 96 | 5 | 1.5 |
| 91 | 2 | 2 |
| 95 | 4 | 1.5 |
| 93 | 2.5 | 2.5 |
| 95 | 3 | 3.3 |
| 94 | 3.5 | 2.3 |
| 94 | 2.5 | 4.1 |
| 94 | 3 | 2.5 |
(a)
Use α = 0.01 to test the hypotheses
| H0: | β1 = β2 = 0 |
| Ha: | β1 and/or β2 is not equal to zero |
for the model
y = β0 + β1x1 + β2x2 + ε,
where
| x1 | = | television advertising ($1,000s) |
| x2 | = | newspaper advertising ($1,000s). |
(A) Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
(B) Find the value of the test statistic. (Round your answer to two decimals places.)
p-value=
(C) Find the value of the test statistic. (Round your answer to two decimals places.)
p-value=
In: Statistics and Probability