The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal Revenue Service audit. The following table shows the average adjusted gross income reported (in dollars) and the percent of the returns that were audited for 20 selected IRS districts.

(a)

Develop the estimated regression equation that could be used to predict the percent audited given the average adjusted gross income reported (in dollars). (Round your value for the y-intercept to three decimal places and your value for the slope to six decimal places.)

ŷ =

(b)

At the 0.05 level of significance, determine whether the adjusted gross income (in dollars) and the percent audited are related. (Use the F test.)

State the null and alternative hypotheses.

H₀: β₁ ≠ 0
H_a: β₁ = 0

H₀: β₁ = 0
H_a: β₁ ≠ 0   

H₀: β₀ ≠ 0
H_a: β₀ = 0

H₀: β₁ ≥ 0
H_a: β₁ < 0

H₀: β₀ = 0
H_a: β₀ ≠ 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. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Do not reject H₀. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H₀. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H₀. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

(c)

Did the estimated regression equation provide a good fit? Explain. (Round your answer to three decimal places.)

Since

r² =

is  ---Select--- less than 0.55 at least 0.55 , the estimated regression equation  ---Select--- provided did not provide a good fit.

(d)

Use the estimated regression equation developed in part (a) to calculate a 95% confidence interval for the expected percent audited for districts with an average adjusted gross income of $37,000. (Round your answers to two decimal places.)

% to  %

The Transactional Records Access Clearinghouse at Syracuse University reported data showing the odds of an Internal Revenue Service audit. The following table shows the average adjusted gross income reported (in dollars) and the percent of the returns that were audited for 20 selected IRS districts.

(a)

Develop the estimated regression equation that could be used to predict the percent audited given the average adjusted gross income reported (in dollars). (Round your value for the y-intercept to three decimal places and your value for the slope to six decimal places.)

ŷ =

(b)

At the 0.05 level of significance, determine whether the adjusted gross income (in dollars) and the percent audited are related. (Use the F test.)

State the null and alternative hypotheses.

H₀: β₁ ≠ 0
H_a: β₁ = 0

H₀: β₁ ≥ 0
H_a: β₁ < 0    

H₀: β₀ = 0
H_a: β₀ ≠ 0

H₀: β₀ ≠ 0
H_a: β₀ = 0

H₀: β₁ = 0
H_a: 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.

Do not reject H₀. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Do not reject H₀. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.    

Reject H₀. We cannot conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

Reject H₀. We conclude that the relationship between the adjusted gross income (in dollars) and the percent audited is significant.

(c)

Did the estimated regression equation provide a good fit? Explain. (Round your answer to three decimal places.)

Since

r² = ________

is (---Select--- less than 0.55 at least 0.55) , the estimated regression equation (---Select--- provided ,did not provide a good fit).

(d)

Use the estimated regression equation developed in part (a) to calculate a 95% confidence interval for the expected percent audited for districts with an average adjusted gross income of $35,000. (Round your answers to two decimal places.)

_____% to _____%

: Evaluation

This Internship was a great experience that I ever found in my study life. I can’t say that this internship was challenging and I had to put a lot of hard work. A few weeks after the beginning I started hoping for a variety of assignments to keep myself busy and motivated.

As I have done my internship of 4 months with Natilapa INC. I have learned to create an event marketing to push promotion support the sell. To gain more customers. To know new rule about Three-tier system (Manufacturersà WholesaleràRetailers) that Singha cannot sell the product directly to the customers but they can buy by distributors. This internship helps me to make the opportunities to gain more connection with customers like Thai restaurants.

During my period of internship it is a valuable opportunity to learn how to handle real life situations. I have to face any challenges, So I have to do anything that my supervisor assigned to me, that part is telemarketing to call to customers around in bay area. So I have to search the name of Thai restaurant that they selling Singha beer by Yelps application to support After-sales Service. Then I manage the list of restaurant for called directly to them and ask what else they need more like point of sale material as t-shirt, apron, Bottle opener etc. Moreover, I have to follow up with customers that make sure we did not missing something that can make job successfully. Another thing of great value would be teamwork so important because we have to helping together to get through any project and situation.

In the end, I would like to thank my supervisor and the team of Natilapa INC. very truly. And last but not the least, thanks to all those concerned people who guided me in making my work more efficient and effective.

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Case Study: Orpheus Financial Advisors

Orpheus was an extremely successful, and very well respected financial advisory firm with offices throughout the United States. Orpheus had a reputation for well-trained advisors and was known to be very selective in terms of the investment managers they would recommend to their clients. As a result, Orpheus clients tended to stay with the investment choices they were recommended for an average of ten years. The average for other platform managers was less than five year. As a result Orpheus was a very desirable platform for firms to get their funds placed on. Traditionally, Orpheus employed a commission based system to charge customers for its advisory services. That is, customers would be charged for specific securities transactions executed on their behalf. Mutual fund transactions would be paid by the fund family based on the initial sales charge of the fund in question. In 2005, Don Shipman, the Senior Vice President of sales convinced Orpheus management and board to also offer investment advisory services on an asset fee based system. Clients would be charged a fixed percentage of their assets under management no matter which or how many transaction they generated. Management and the board approved and the new program was rolled out late in 2005. The new program became immediately very profitable. Branch offices enrolled a large percentage of new customers in the fee-based rather than commission-based program and many existing commission-based accounts were converted to a fee-based compensation system. Shipman and Daryl Greene, the Chief Compliance Officer, agreed that this new business vehicle did not require any addition supervisory systems or written procedures. They continued to rely on their existing supervisory system, which was directed towards its commission-based business, nor did they monitor their fee-based accounts for transaction activity. In 2007, a client, Rose Garcia, seeing the fees applied to her account increase substantially complained to her Orpheus rep. He explained that her account was now being charged under the fee based system which the rep asserted was appropriate for her portfolio and investment profile. Rose was very conscientious and had all of her statements and activity reports for 2006 and 2007 and on reviewing them confirmed that she had made no trades during those years. She was a conservative, buy and hold investor.

1. Identify the principal actors

2. Identify the stakeholders

3. Determine if there have been ethical or regulatory breaches and what principles have been violated.

4. Determine if there has been material harm to any stakeholder and what steps are required to mitigate or correct it.

5. Discuss any other issues of ethics, compliance or good governance that extend beyond the immediate details of this case.

West Java topography condition is very potential for the development of hydro power plant technology especially mini-hydro power (PLTM) and micro-hydro power (PLTMH) which is a runoff river power plant. Unfortunately, until right now the business performance of PLTM and PLTMH is not optimal yet. It was allegedly related to the supply chain management and business partnership aspect.

The mountainous topograph in Southern part of West Java, with many small rivers flowing throughout the year and high rain fall volume have springs flowing to the rivers is very potential for the development of environment friendly hydroelectric technology, which is a runoff river power plant between 1-10 MWh called Mini Hydro Power Plant (Pembangkit Listrik Tenaga Mini Hidro). The equipment used is relatively simple and easy to find. The required land is not extensive, so there is no need to open the forest to build the large scale hydroelectric power supply with big water dam and huge power installation. Southern part of West Java has mountain topography spread all over the region. In general, mountain’s texture is steep with relatively few inhabitants. The mountainous area has a large electrical energy in the form of water. The flow of water from the plateau to the lower one has potential energy that can be utilized as a source of electrical energy, especially in Sukabumi, Cianjur, Garut and Tasikmalaya that still have forests and stable water supply. With the publication of ESDM Regulation no. 19 of 2015 on Micro Hydro Power Plants regarding the electricity tariff (Feed In Tariff) of Hydro Power Plants under 10 MW/h of 12 cent USD / KWh and the use of mini hidro Potential of 500 MW, newly installed 86.1 MW, should increase the number of Mini Hydro Power Plants (PLTM) in West Java.

Actually, the potential of Mini Hydro Power Plants for supporting to the main grid of electricity (Jawa Bali Network) and remote areas that have not reached the electricity network or areas that do not have other sources of fuel, so that the potential for the development of the Mini Hydro Power Plants is not optimal. However, the request for a Water Power Business Permit under 10 MW in Indonesia has only reached 33 Commercial Operation Date (COD) Permits from 266 Permits during 2015 to date. Until now, the company's performance is only 65%-75% of 86.1 MW installed yet, due to the frequent down time. This problem is caused by lack of optimal partnership and also supply chain management in mini hydro power plants companies, especially in the technology to be used, expertise people and financial investor. The Previous study has not address on Supply Chain Management and Strategic Partnership during the operation phase of Mini Hydro Power Plant. The form of partners relationship proposed by Cravens (2013) that includes a vertical relationship consisting of relationships with suppliers and customers and the relationship horizontally consisting of lateral and internal partnerships. In the era of decentralization of the energy sector in Indonesia, the key to sustainability success is extensive coordination with private parties, local government offices, state electricity company, and communities. On the other hand, Clement, Clement, Joseph (2013) suggests that the performance of a company with partnership is better than a single-ownership company. In addition, Agus and Hassan (2012) demonstrate that the product quality performance and business performance dependence on practices of strategic suppliers partnerships. Another factor that is alleged to have an impact on the optimum business performance of micro hydro power plant companies is regard to the aspects of the supply chain. Turban, Rainer & Porter (2004) mentions supply chain includes 3 components ie upstream supply chain, internal supply chain management, and downstream supply chain. Lia, Ragu-Nathan, Ragu-Nathan, Rao (2006) found that higher levels of SCM practice lead to increased competitive advantage and improved organizational performance.

Based on this background, the aim of this study is to examine;

1. Identify the components of the supply chain management and specify how this process can be implemented to improve the performance of the micro hydro power plant in West Java. (10marks)
2. In this case, this study are expected to be used by the Government in their policies and private sectors to boosting the e-business infrastructure and may also provide benefits to the next Mini Hydro Power Plant Business to extend this process by the use of business partnership and build their business performance. (10marks)

You first need to compute the demand function associated with the data set and use that demand function to compute the optimal price for the product. You can use 20% of the average price as the cost of the product.

please show excel work

I think I have this figured out, but need a double check... Thank you

Here is the question:

Regional distributors are currently using continuous review inventory policy. Compute and describe their inventory management policy and associated cost. Ignore inbound and outbound transportation cost. Provide answers and calculations for order quantity, demand during lead time, safety stock, average inventory level, inventory holding cost per week, ordering cost per week, and total cost per week.

The service level is 90% and the average lead time is 2 weeks.

Here is the style I used to answer.

Supporting info:

Ian Mathews is a creator of board games. Ian will be selling his most recent game, Radical Rainbows, through his newly formed company, UPR, Inc. UPR was formed in June, 2018. Ian contributed $1,000 to UPR in exchange for 100% of UPR’s voting common stock. Ian has had unprecedented success with the first two games in his most recent game trilogy: unicorns, ponies and rainbows. Ian was looking to finance UPR’s initial production run of the third game, Radical Rainbows at a rate of 7.5% or less.   The best deal offered by several banks had an APR of 8%. That was more than Ian was willing to pay and he felt there were other sources of financing that were less expensive.

As he had done for the first two games in the series: Unstable Unicorns and Perplexed Ponies, Ian turned to Kickstarter to finance the cost of the first production run of Radical Rainbows. Normally, UPR will be selling Radical Rainbows for $50 per game. UPR offered to sell Radical Rainbows to its Kickstarter backers for $45 per game.   The Kickstarter campaign was completed in two days, and on June 1, 2018 UPR received $225,000 in exchange for a promise to deliver 5000 games to its Kickstarter backers on December 1, 2019.  

At a manufacturing cost of $30 per game, UPR will be able to produce 7500 units with the $225,000 raised in the Kickstarter campaign. The 7500 games would be ready for shipment on December 1, 2019.

On June 1, 2018, UPR’s bookkeeper made the following entry to record the receipt of cash:

On December 1, 2019, UPR was able to deliver the 5000 board games to its Kickstarter backers. UPR also sold and delivered the additional 2500 games to other customers for the normal retail price of $50 per game. UPR’s bookkeeper made the following entries to record these transactions:

UPR used the $126,000 in cash available to UPR in December, 2019 to manufacture another 4200 board games. Those games were in finished goods inventory at December 31, 2019 and were sold in January, 2020 for $50 per game

UPR’s Financial Statements at December 31, 2019 and 2018 as prepared by UPR’s bookkeeper showed the following:

*You can assume that the Cash, Inventory, Common Stock and Cost of Goods Sold amounts as shown in both the journal entries and financial statements are correct.

Your analysis of this problem will involve using ASC 606 - Revenue from Contracts with Customers. UPR adopted ASC 606 when Ian formed the company in 2018. UPR has applied ASC 606 incorrectly.

You can assume that a contract is in place and that only one performance obligation exists: the delivery of the board game to the customer. Thus, determining the Transaction Price is the issue that needs to be addressed. The principles for the determining transaction prices can be found in ASC Subtopic 606-10-32-2 through 606-10-32-27. You may also want to refer to the illustrations (examples) contained in ASC 606. A list of the illustrations can be found at ASC Subtopic 606-10-55-93.

QUESTIONS TO BE ANSWERED

You must answer the following questions:

What are the additional entries or correct entries required on the following dates? If the entries made by the bookkeeper are correct, indicate “Bookkeeper made correct entry”. Otherwise use the Journal Entry template to record your answer and then paste into your answer.:

June 1, 2018

December 31, 2018 Adjusting Journal Entry

December 1, 2019

Use the attached Excel Template, show the corrected comparative Balance Sheet and Income Statement at December 31, 2019 and December 31, 2018.   Paste the template into your answer

Using references to ASC 606 explain how your arrived at your answers in 1. And 2. Above.

From the point of view of a potential investor or lender to UPR, do the corrected financial statements or the original financial statements prepared by UPR’s bookkeeper better reflect the economics of UPR during its initial two years in business? Why?                   

Corrected Balance Sheet
12/31/2019 12/31/2018
Cash* $0 $126,000
Inventory - Work in Process* $0 $100,000
Inventory - Finished Goods* $126,000
Total Assets $126,000 $226,000

Deferred Revenue $0
Total Liabilities $0
Common Stock* $1,000 $1,000
Retained Earnings- Accumulated Deficit $125,000
Total Equity $126,000
Total Liablities and Equity $126,000

Corrected Income Statement
Revenues
Cost of Goods Sold $225,000 $0
Gross Profit
Expenses - Interest
Net Income

You can assume that the Cash, Inventory, Common Stock and Cost of Goods Sold amounts as shown in the financial statements are correct. Also, the Balance Sheet at 12/31/2019 as prepated by UPR's bookkeeperis correct.

3) You have been asked to study whether there is a statistical relationship between the region of the country and the categorical number of stores that have experienced at least a 20% return rate of the item you are studying. Sample data concerning these two variables is given in appendix three. At both the 5% and 2% levels of significance, is there evidence of a relationship between the region of the country and the categorical number of stores that have experienced at least a 20% rate of return of the item? Appendix Three: Region Number of Stores One Two Three Four <25 18 21 13 28 [25-50) 11 20 19 24 [50-75) 15 17 22 18 [75-100) 9 7 8 10 ≥100 6 5 6 7

1. You have been asked to study whether there is a statistical relationship between the region of the country and the categorical number of stores that have experienced at least a 20% return rate of the item you are studying. Sample data concerning these two variables is given in appendix three. At both the 5% and 2% levels of significance, is there evidence of a relationship between the region of the country and the categorical number of stores that have experienced at least a 20% rate of return of the item?

Appendix Three:

                                                                   Region

Number of Stores                One       Two      Three        Four      

<25                           18          21        13            28

[25-50)                       11        20        19            24

[50-75)                       15          17        22            18

[75-100)                         9            7          8            10

≥100                            6            5          6                7