Describe THREE (3) categories of e-commerce revenue models with ONE (1) real-life example for each model. Below are the guidelines of answer. DO NOT use guidelines below as the answer of question. If you not understand question, DO NOT answer, please comment below. Use your own answer and give your own experience example.

Answer:
First let me list the three :
1. Affiliate marketing <<explain this and give one real life example.
2. Online advertising<<explain this and give one real life example.
3. Transaction fees<<explain this and give one real life example.

Explanation:
1. Affiliate marketing enables you to earn revenue by marketing or offering another product for sale on your site. For example, you may reference a book you read and recommend your customers get a copy for themselves. You could also set up an affiliate account and place a direct link to the book on the Amazon site, which will pay you a percentage of the sale. If you decide to participate in affiliate marketing, you\'ll need to research which companies might provide you with a financial incentive for promoting their sites on your page.
When you\'re just starting out, the money you earn from affiliate marketing may be just a small, supplemental amount. However, as traffic to your site increases, you may enjoy more substantial income.
2. Online advertising is a very popular revenue model for e-commerce businesses. In this method, companies or organizations buy advertising space on your site, provide a designed ad or written message, and then pay you for promoting their messages. Media sites, such as magazines, newspapers, and television channels typically use online advertising.
Two common types of online advertising include pay-per-click and pay-per-view, which determine how much advertisers will pay for their advertisements. While some sites charge a set fee for placing an ad, most pay a set fee for each person who clicks on a link or views a page related to the advertiser. As traffic to your site grows and more people click on an advertiser\'s link or view a related page, you\'ll earn more advertising revenue.
3. Transaction fees are the charges a company pays for using their service. If you\'ve ever sold anything on eBay, you know there\'s a set price for posting a product for sale. Each time a transaction happens, you pay a small fee to eBay for marketing your product. Whether you charge a small fee for a company to list a transaction or for someone to view a video, transaction fees can be a sizable if the traffic to the website is substantial.
Examples of the firms that use these revenue models are:
1. TDC and Orange are using Affiliate marketing .
2. Coco Cola , AMEX , Mint are using Online advertising .
3. Google (e.g. AdWords and AdSense),Facebook,New York Times (Marketing) are using Transaction fees.

Please calculate the following for 2009:

a)   Return on Assets:
b)   Current Ratio:
c)   Debt/Equity Ratio:
d)   Cash flow from Operations:
e)   Cash flow from Investing Activities:
f)   Cash Flow from Financing Activities:
g)   Net Change in Cash for the year:

A local shop owner would like to know if he can predict weekly sales by knowing the number of customers who visit his shop in the week. He takes a random sample of 10 weeks from the previous year, recording the number of customers and the sales in thousands of dollars. The results are summarized in the table below. He has assumed that the sales are normally distributed.

a. Find the equation for the regression line.

b. Interpret the slope in terms of this problem.

c. Interpret the y-intercept for this problem.

d. Interpret the coefficient of determination in terms of this problem.

e. Find the correlation coefficient.

f. If 800 customers visited his shop in one week, what would he predict as his sales for that week?

g. If 700 customers visited his shop in one week, what would he predict as his sales for that week?

h. Do the data indicate a strong linear relationship between the number of customers and sales at the 5% significance level?

The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. The following data show the average attendance for the 15 teams in the International League. Also shown are the teams’ records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won. A test for any difference in the mean attendance for the three divisions has been requested.

1. Explicitly state and conduct the appropriate hypothesis test to determine if any significant difference in the mean number people in attendance by division. (All steps should be included)
2. Present a graph that summarizes the data along with a table of summary statistics for each variable in the data set. An interpretation must accompany any graph, chart, or table that you use.

   Team Name	Division	W	L	PCT	Attendance
   Buffalo Bisons	North	66	77	0.462	8812
   Lehigh Valley IronPigs	North	55	89	0.382	8479
   Pawtucket Red Sox	North	85	58	0.594	9097
   Rochester Red Wings	North	74	70	0.514	6913
   Scranton-Wilkes Barre Yankees	North	88	56	0.611	7147
   Syracuse Chiefs	North	69	73	0.486	5765
   Charlotte Knights	South	63	78	0.447	4526
   Durham Bulls	South	74	70	0.514	6995
   Nashville Sounds	South	72	68	0.514	8823
   Norfolk Tides	South	64	78	0.451	6286
   Richmond Braves	South	63	78	0.447	4455
   Columbus Clippers	West	69	73	0.486	7795
   Indianapolis Indians	West	68	76	0.472	8538
   Louisville Bats	West	88	56	0.611	9152
   Toledo Mud Hens	West	75	69	0.521	8234

WRITE A MINI REPORT (3 PARAGRAPHS) DESCRIBING A DATA ANALYSIS OF YOUR CHOICE AND YOUR CONCLUSIONS TO ANSWER THE RESEARCH QUESTIONS LISTED BELOW USING THE DATA (given in SAS format) BELOW.

A producer of medical masks is doing an experiment to investigate the effect that the material of the mask and the thickness of the mask have on protection against the SARS virus (as measured by percent of 0.3-micron particles blocked; a higher percentage is better). The three material types examined are cotton, polyester, and polypropylene. The three thickness levels examined are 0.25 mm, 0.40 mm, and 0.55 mm. The researcher also wants to know whether the material type and the thickness interact significantly. If the factor(s) significantly affect protection, then we want to know which levels of the factors differ significantly (or which factor level combinations, if there is significant interaction). Write a mini-report (about 3 paragraphs) describing a data analysis of your choice and your conclusions to answer the producer’s research questions. Thank you!

DATA prob1;
INPUT material $ thickness protection;
cards;
cotton 0.25 34
cotton 0.25 42
cotton 0.25 37
cotton 0.4 44
cotton 0.4 43 
cotton 0.4 51
cotton 0.55 56
cotton 0.55 52 
cotton 0.55 50
polyest 0.25 65
polyest 0.25 61 
polyest 0.25 68
polyest 0.4 72
polyest 0.4 67
polyest 0.4 74
polyest 0.55 81
polyest 0.55 77
polyest 0.55 76
polyprop 0.25 63
polyprop 0.25 67
polyprop 0.25 73
polyprop 0.4 68
polyprop 0.4 74
polyprop 0.4 73
polyprop 0.55 78
polyprop 0.55 85
polyprop 0.55 81
;
run;

Could this be answered within excel + handwritten notes and thoroughly explained. Please and thank you

INTRODUCTION TO LINEAR CORRELATION AND REGRESSION ANALYSIS.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead). Consumers, of all income and wealth classes, were surveyed. Every year, 1500 consumers were interviewed. The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually. Below is the data shown for the last 24 years.

Date                X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Questions:

1. Do you think that measuring the level of optimism is a good predictor for trying to forecast future spending on luxury items? Explain why or why not.
2. How would you be able to improve on the model? You must provide a minimum of two specific ways to go about improving the model.
3. If the economist expects that, by year’s end, the average level of consumer confidence will hit 81.5 points, how much will be expected by consumers to spend on luxury items?

the table gives a total U.S expenditure for health services and supplies selected years from 2000 and projected to 2018.

year $(billion)

2000 1264

2002 1498

2004 1733

2006 1976

2008 2227

2010 2458

2012 2746

2014 3107

2016 3556

2018 4086

a. find an exponential function model to these data, with x equal to the number of years after 2000. b) use the model to estimate the U.S expenditure for health services and supplies in 2020.

2.The percent of boys age x or younger who have been seually active are given below.

Age cumulative percent seuual active girls cumulative percent sexual active boys

15 5.4 16.6

16 12.6 28.7

17 27.1 47.9

18 44.0 64.0

19 62.9 77.6

20 73.6 83.0

a). Creat a logarithmic function that model the data using an input equal to the age of the boys.

b) use the model to estimate the percent of boys age 17 or younger who have been seually active

c. compare the percent that are sexually active for the two genders, what do you conclude.

3). if $12000 is invested in an account that pays 8% interest, compounded quaterly, find the future value of this investment

a) after 2 year. b) after 10 years.

4).if $9000 is invested in an account that pays 8% interest, compounded quaterly . find the future value of this investment

a) after 0.5 year b)after 15 years

5. Grandparents decide to put a lump sum of money into a trust fund on their gtanddaughters 10th birthday so that she will have $1000000 on her 60th birthday. if the fund pays 11% compounded monthly. how much money must they put in the account.

6.At the end of t years the future value of an investment of $25000 in an account that pays 12% compounded quaterly is

S=25000(1+0.12 /4t )^4t dollars.. a) How many years will the investment amount to $60000.

Because of high tuition costs at state and private universities, enrollments at community colleges have increased dramatically in recent years. The following data show the enrollment (in thousands) for Jefferson Community College for the nine most recent years.

Click on the datafile logo to reference the data.

SUBJECT: TAXATION OF INDIVIDUALS AND BUSINESS ENTITIES (Chapter 25)

Required information

Roland had a taxable estate of $5.5 milionwhen he died this year.

Calculate the amount of estate tax due (if any) under the following alternative. (Refer to EXHIBIT 25-1 AND EXHIBIT 25-2).

a. Roland's prior taxable gifts consist of a taxable gift of $1 million in 2005. Estate tax due?

b. Roland's prior taxable gifts consist of a taxable gift of $1.5 million in 2005. Estate tax due?

c. Roland made a $1 million taxable gift in the year prior to his death. Estate tax due?

EXHIBIT 25-1

EXHIBIT 25-2 THE EXEMPTION EQUIVALENT

Please show the solution. Thank you