During the year ended December 31, 2019, Parent Company (the parent) sold merchandise to Subsidiary Corporation (a 90%-owned subsidiary) for a price of $32,340, at a markup of 32% of cost. Subsidiary sold merchandise acquired from Parent to outsider customers for $38,500 during 2019. Included in Subsidiary’s January 1, 2019, inventories were goods acquired from Parent at a billed price of $3,036 and included in Subsidiary’s December 31, 2019, inventories were goods acquired from Parent at a billed price of $2,310.

(i)         Prepare the working paper eliminating entries (in journal entry format) related to the intercompany sale of merchandise for the year ended December 31, 2019.

(ii)        Show how the working paper eliminating entry in part (i) adjusts cost of goods sold and ending inventory to the correct consolidated balances.

(iii)       How (increase or decrease and the amount) is Parent’s 2019 equity in income of Subsidiary affected by the intercompany sale of merchandise?

6. Which of the following statements is (are) correct?
(x) The nominal exchange rate is the rate at which a person can trade the currency of one country for the currency of another country.
(y) If the nominal exchange rate is 20 Mexican pesos per U.S. dollar, it is also 0.05 U.S dollar per peso.
(z) If the nominal exchange rate is 0.75 euro per U.S. dollar, then a meal that costs 30 euros would cost 40 U.S. dollars.
A. (x), (y) and (z)
B. (x) and (y) only
C. (x) and (z) only
D. (y) and (z) only
E. (x) only

Which of the following statements is (are) correct?
(x) The real exchange rate is the rate at which domestic goods are traded for foreign goods.
(y) An appreciation of the U.S. real exchange rate induces U.S. consumers to purchase more domestic goods and fewer foreign goods.
(z) Suppose the nominal exchange rate is 10 Mexican pesos per one U.S. dollar. If a hat costs 100 pesos in Mexico and 10 dollars in Texas then the real exchange rate is specified as one Mexican hat equals one American hat.
A. (x), (y) and (z)
B. (x) and (y) only
C. (x) and (z) only
D. (y) and (z) only
E. (x) only

Which of the following could be a consequence of a depreciation of the U.S. real exchange rate?
(x) Stan, a U.S. citizen, decides that his trip to Japan would be too costly and cancels his trip.
(y) Jack, an Australian citizen, decides that buying ceiling fans from the United States will now be less costly and doubles his order.
(z) Joe, a U.S. citizen, decides to import less engine parts for his auto parts company.
A. (x), (y) and (z)
B. (x) and (y) only
C. (x) and (z) only
D. (y) and (z) only
E. (x) only

After having taken an MBA a friend of yours is planning to open a cafeteria in a well-known Pyrenees ski resort. In order to prepare the forecasted financial expenses for a potential investor he has asked you some help in order to double check the financial statements of the business.

The cafeteria would only be opened for 6 months (180 days), starting the 1^st of November and until the 30^th of April, so you must consider all the financial statements on a semester basis.

Expected sales in average:

• Breakfasts served: 25 breakfast per day at an average price of 10€ each
• Lunch: 50 breakfast per day at an average price of 20€ each
• Coffee: 3.000 cups per month at 2€ each
• Sandwiches: estimated 1.000 per month at an average price of 4€
• Soups: estimated 375 per month at an average price of 6€

During the season, the cafeteria will host 2 private events for special guests of the resort:

• New Year’s dinner party consisting in 100 menus at 100€ (includes dinner and open bar), with an expected margin of 40%, which will be collected 30 days after its celebration (30^th January).
• Easter’s special lunch consisting in 100 menus at 50€, with an expected margin of 30%, which will be collected 30 days after its celebration (end May)

Additionally, there will be extra revenues by selling souvenirs as postcards and fridge magnets. The forecast is to sell an equivalent of the 10% of the total revenues (excluding the private events). The cost of the souvenirs is barely the 10% of its price with collecting & payment conditions being the same as the rest of the cafeteria products.

The direct cost of the ingredients of every meal or food/beverage served is as following (over price):

• Breakfast: 30%
• Lunch: 35%
• Coffee: 20%
• Sandwiches: 50%
• Soup: 25%

The costs related to the goods sold (food, beverages, special events, souvenirs) will pe paid in average 30 days after its consumption.

You expect to have a stable headcount of the following positions:

• Waiters: 3 persons, with a gross salary of 1.000€ per month (only during the 6 months season) plus a 30% of Social Security taxes.
• Cooker: 2 persons, with a gross salary of 2.000€ per month (only during the 6 months season) plus a 30% of Social Security taxes
• Business manager with a gross salary of 5.000€ per month (which applies for all year) plus a 30% of Social Security taxes

Salaries will be paid at the end of the month while SS taxes at the end of every calendar quarter.

Consumption of water, power and heat are expected to amount 3.000€ per month. Since the payments is usually in 60 days, at the end of the season 1/3 of the utilities will remain unpaid.

As part of the agreement with the ski resort, cafeteria will have to liquidate and pay a royalty of an equivalent of the 10% of the total semester revenues (to be paid the month after the season ends).

Additionally, it has been calculated that other general expenses, as alarms, cleaning, kitchen tools, etc. will amount a 3% of the revenues, all of them paid within the season period.

The cafeteria will have to invest 60,000€ in order to purchase some necessary assets for the operation, as chairs, tables, shelves, a fridge, an oven and cutlery. All those elements will be sold after the season at a 50% of its price value. All of them are expected to be paid during the first 3 months, while the collection of the end-season sale will be expected 60 days after the closing.

With the purpose to face the initial investment payment for the assets acquired, contemplate to get a bank loan with a 6 months maturity, repaid (principal plus interests) on the 30^th April with a 6% annual compound interest rate.

Consider that 50% of the total revenues (including souvenirs and special events) are paid with credit card which results in a 1,5% financial cost for the cafeteria. The rest is being paid upfront.

Estimated tax provision is 25%, to be paid 60 days after the closing balance of the season.

The Balance sheet at the beginning of the period (1^st November) only contained 10.000€ of Cash and 10.000€ of Capital stock.

1. Please elaborate the 2021-22 semester (Nov-April) Income statement and Cash-Flow Statement, showing in this case the 3 standard categories (Operational, Investing, Financial). Also complete the 31^st April 2022 Balance Sheet and identify in it the differences between the Net Income and the Free Cash-Flow of the period. Comment all the results shown. (85 points: 25pts IS, 25pts CF, 25pts BS and 10pts for explaining and showing the differences).
2. If you were a potential investor what aspects would, you consider according the financial information seen above. Does the fact of being a seasonal business would affect your decision on investing or not? If the forecast was contemplating, 12 months rather than 6 would the financials change? Explain (15 points)

Business analytics MBA- There are a number of learning scenarios or types of learning algorithms, that can be used depending on whether a target variable is available and how much labeled data can be used. These approaches include supervised, unsupervised, and semi-supervised learning. Explain the difference between each type of machine learning. Give an example of how each is used. Write your responses in detail with examples. Be sure to identify the source of your example in your posting. Your initial post should be of minimum 300 words.

Most MBA students study in “teams.” Is there a potential tragedy of the commons within the study teams? Ask differently, what incentive problems do these groups have to overcome? How has your group sought to overcome the incentive problems? Why are teams generally small? What would be the consequence of doubling or tripling the size of study teams? How does team size influence the extent to which teams allocate "points" for members contributions to team projects?

As a recently hired MBA intern, you are working in a consulting capacity to provide an analysis for Al Dente's Italian Restaurant. A financial income Statement is presented below:

Sales $4,640,560

Cost of sales (all variable) $2,679,008

Gross Margin $1,961,553 Operating expenses:

Variable $478,117

Fixed $367,521

Total operating expenses: $845,638

Administative expenses (all fixed) $970,725

Net operating income $145,190

This income statement presents the sales, expenses and pre-tax operating income for a local eating facility. At Al Dente, the average meal cost for lunches and dinners are $20 and $40 respectively. Al Dente serves both lunch and dinner 300 days per year and serves twice as many lunches as dinners. As the MBA intern you are to prepare a managerial accounting focused report to the owners of Al Dente's Italian Restaurant, to include the following

5. In order to increase NOI, the owner of the restaurant is considering adjustments to the quality of food ingredients currently used. Rather than using premium ingredients, use of average quality ingredients would reduce the cost of food by 15%. The owner proposes to not change the current meal pricing. As the consultant, prepare a memo to the owner that presents the pros and cons of this change in operations. What are the potential impacts on revenue, costs, and net operating income may result from this change? The owner does not want to see a decrease in net operating income. Could the owner make this change and absorb a decrease in customers, and how would you demonstrate numerically to support your analysis? What other factors or consequences of this decision should the owner consider besides the financial impact of the change? Hint: this qualitative analysis is to be thorough. Expect to present 400 words or so, and support your analysis using calculated or given accounting data. Please show how you got the calculations!!!

MBA 6300 Case Study No. 2

There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms. The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.

1. Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence. Write the regression equation for each model.
   1. Sale price based upon square feet of living area.
   2. Sale price based upon number of bedrooms.
   3. Sale price based upon number of bathrooms.
2. Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence. Write the regression equation for each model.
   1. Sale price based upon square feet of living area and number of bedrooms.
   2. Sale price based upon square feet of living area and number of bathrooms.
   3. Sale price based upon number of bedrooms and number of bathrooms.
   4. Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
3. Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
4. Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
5. Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
6. Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
7. Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms. (Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)

Prepare a single Microsoft Excel file using a separate worksheet for each question and upload your Excel file.

The system will not let me post all of the data needed to answer the question... it says that it is too long . could you save this information so i can add the data ?

As a recently hired MBA intern, you are working in a consulting capacity to provide an analysis for Al Dente's Italian Restaurant. A financial income Statement is presented below: Sales $2,698,000 Cost of sales (all variable) $1,557,563 Gross Margin $1,140,438 Operating expenses: Variable $277,975 Fixed $213,675 Total operating expenses: $491,650 Administative expenses (all fixed) $564,375 Net operating income $84,413 This income statement presents the sales, expenses and pre-tax operating income for a local eating facility. At Al Dente, the average meal cost for lunches and dinners are $20 and $40 respectively. Al Dente serves both lunch and dinner 300 days per year and serves twice as many lunches as dinners.

4. The owner of the restaurant is thinking of increasing sales through additional advertising, which she will incur as an administrative expense. The proposed additional advertising campaign will cost $25,000. She anticipates that the additional advertising expense will result in an additional 6 lunches and 3 dinners on average, per day. Illustrate the impact on NOI assuming the changes above (hint: show a revised CM statement). Hint: for this type of ‘whatif’, compare the additional contribution margin impact on NOI given the change in units and change in fixed costs.

As a recently hired MBA intern, you are working in a consulting capacity to provide an analysis for Al Dente's Italian Restaurant. A financial income Statement is presented below: Sales $2,698,000 Cost of sales (all variable) $1,557,563 Gross Margin $1,140,438 Operating expenses: Variable $277,975 Fixed $213,675 Total operating expenses: $491,650 Administative expenses (all fixed) $564,375 Net operating income $84,413 This income statement presents the sales, expenses and pre-tax operating income for a local eating facility. At Al Dente, the average meal cost for lunches and dinners are $20 and $40 respectively. Al Dente serves both lunch and dinner 300 days per year and serves twice as many lunches as dinners.

5. In order to increase NOI, the owner of the restaurant is considering adjustments to the quality of food ingredients currently used. Rather than using premium ingredients, use of average quality ingredients would reduce the cost of food by 15%. The owner proposes to not change the current meal pricing. As the consultant, prepare a memo to the owner that presents the pros and cons of this change in operations. What are the potential impacts on revenue, costs, and net operating income may result from this change? The owner does not want to see a decrease in net operating income. Could the owner make this change and absorb a decrease in customers, and how would you demonstrate numerically to support your analysis? What other factors or consequences of this decision should the owner consider besides the financial impact of the change?