Develop a list of revenue streams for a NASCAR racing team.

1. In order for revenue to be recognized, it must be both _______________________ and ________________________.

2. Net sales less cost of goods sold equals ____________________________________.

3. Another term for income from operations is called ____________________________, and is calculated by taking gross profit less operating expenses.

4. Gross sales less sales discounts and sales returns & allowances are called ___________________________, and represent the revenues resulting from selling a product or service.

5. The most significant expense for most manufacturing companies and merchandising companies is called ___________________________________.

6. The calculation for gross margin (profit) ratio is ________________________________.

7. Expenses, other than cost of goods sold, that are incurred in the day-to-day activities of the entity are called ___________________________________.

8. _______________________ is the excess of revenues & gains over expenses & losses.

9. FOB _______________________ means title passes from seller to buyer when the merchandise being shipped arrives at its destination.

10. FOB _______________________ means title passes from seller to buyer when the merchandise being shipped leaves the seller’s premises.

The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The file here represents the value in 2013 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises. (Data extracted from www.forbes.com/mlb-valuations/list.) Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. What are the values for (1) the proportion of variation in value of a sports franchise that is explained by annual revenue , (2) the sum of squares Y , (3) the sum of squares predicted , (4) the sum of squares error , (5) the intercept A , (6) the slope b , (7) the predicted value of a sports franchise (in $millions) that generates $300 millions of annual revenue , and (8) the standard error of estimate ?

The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The file here represents the value in 2013 (in $millions) and the annual revenue (in $millions) for the 30 Major League Baseball franchises. (Data extracted from www.forbes.com/mlb-valuations/list.) Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. What are the values for (1) the proportion of variation in value of a sports franchise that is explained by annual revenue , (2) the sum of squares Y , (3) the sum of squares predicted , (4) the sum of squares error , (5) the intercept A , (6) the slope b , (7) the predicted value of a sports franchise (in $millions) that generates $300 millions of annual revenue , and (8) the standard error of estimate ?

What are the economic drivers for revenue and profitability of a hospital, and what are the potential strategies to maximize profits and returns on investment??

Identify each of the following as an asset, a liability, a revenue, an expense, or a net asset (unrestricted, temporarily restricted, or permanently restricted):

1.The land on which the nonprofit is located and which it owns

2.Salaries owed to employees

3.A $100,000 grant to be paid next year for a specific purpose by a foundation

4.Government bonds owned by the nonprofit

5.Prepaid insurance expenses

6.A fifteen-year mortgage on the organization's building

7.Salaries paid to employees

8.Supplies in the closet

9.A bill from staples

10.Money owed to the nonprofit but not yet paid

Summarize the guidance of the FASB regarding recognition of revenue on contracts.

The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts​ (a) through​ (b) below.

Annual Revenue(millions_of_dollars)   Franchise_Value_(millions_of_dollars)
229   654
248   765
192   424
191   472
194   394
162   242
183   405
159   302
237   511
272   888
183   247
225   646
216   504
243   581
228   507

a. Use the​ least-squares method to determine the regression coefficients b0 and b1

b0=

b1=

b. predict the mean franchise value (in millions of dollars) of a sports team that generates $250 million of annual revenue

Yi= $ ____ million (round to nearest integer)

The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. Below is the data that represents the value (in $millions) and the annual revenue (in $millions) for 30 Major League Baseball franchises. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated.

(a ) Use the least-squares method to determine the regression coefficients (intercept and slope).

(b) Interpret the meaning of the intercept and slope in this problem.

(c) Predict the value of a baseball franchise that generates $150 million of annual revenue.

(d) determine the coefficient of determination, r², and interpret its meaning.

(e) determine the standard error of estimate (Syx).

(f) How useful do you think this regression model is for predicting the value of a baseball franchise?