Questions
Payroll. Canada. Expenses are costs incurred by an organization in the process of earning revenue during...

Payroll. Canada. Expenses are costs incurred by an organization in the process of earning revenue during a given time period. Expense accounts have a direct impact on the profitability of an organization.

List three expense accounts related to payroll. Describe when you would expect the account to be cleared to zero. Explain the methods you could use to reconcile these accounts.

In: Accounting

What kind of accounts are the following (asset, liability, SE, revenue, expense) and what are their...

What kind of accounts are the following (asset, liability, SE, revenue, expense) and what are their normal balances. Also which specific type of assets, liabilities, or expenses do these fall under on the financial statements?

In: Finance

Q. Give at least ten different examples of the types of costs and/or revenue from the...

Q. Give at least ten different examples of the types of costs and/or revenue from the text. Your answer should include: The name of the cost/revenue, the definition, a real world example and Internet research to support the real world example.

A.?

Q. Define Process Costing and Job Order Costing. Discuss at least five terms/concepts related to either/both of the costing methods. Giver real world examples to support you terms/concepts and include internet research.

A.?

In: Accounting

What happens to total revenue given a price increase and demand is inelastic? Why?

What happens to total revenue given a price increase and demand is inelastic? Why?

In: Economics

The File NFLValues.xlsx show the annual revenue ($ millions) and the estimated team value ($ millions)...

The File NFLValues.xlsx show the annual revenue ($ millions) and the estimated team value ($ millions) for the 32 teams in the National Football League.

  1. Develop a scatter diagram with Revenue on the horizontal axis and Value on the vertical axis. Does it appear that there are any outliers and/or influential observations in the data?
  2. Develop the estimated regression equation that can be used to predict team value given the value of annual revenue.
  3. Use residual analysis to determine whether any outliers and/or influential observations are present. (Calculate Leverages, Cook’s Distance). Briefly summarize your findings and conclusions.
Team Revenue Value
Arizona Cardinals 203 914
Atlanta Falcons 203 872
Baltimore Ravens 226 1062
Buffalo Bills 206 885
Carolina Panthers 221 1040
Chicago Bears 226 1064
Cincinnati Bengals 205 941
Cleveland Browns 220 1035
Dallas Cowboys 269 1612
Denver Broncos 226 1061
Detroit Lions 204 917
Green Bay Packers 218 1023
Houston Texans 239 1125
Indianapolis Colts 203 1076
Jacksonville Jaguars 204 876
Kansas City Chiefs 214 1016
Miami Dolphins 232 1044
Minnesota Vikings 195 839
New England Patriots 282 1324
New Orleans Saints 213 937
New York Giants 214 1178
New York Jets 213 1170
Oakland Raiders 205 861
Philadelphia Eagles 237 1116
Pittsburgh Steelers 216 1015
San Diego Chargers 207 888
San Francisco 49ers 201 865
Seattle Seahawks 215 1010
St Louis Rams 206 929
Tampa Bay Buccaneers 224 1053
Tennessee Titans 216 994
Washington Redskins 327 1538

In: Statistics and Probability

Create a narrative for simple revenue cycle and expense cycle business process for a company that...

Create a narrative for simple revenue cycle and expense cycle business process for a company that produces automobiles.

In: Finance

The owner of a movie theater company would like to predict weekly gross revenue as a...

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 2.3
94 2.5 4.1
94 3 2.5

1. 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).

1b. Find the value of the test statistic. (Round your answer to two decimal places.)

1c. Find the p-value. (Round your answer to three decimal places.)

p-value =

1d. State your conclusion.

(a) Do not reject H0. There is sufficient evidence to conclude that there is a significant relationship among the variables.

(b) Reject H0. There is sufficient evidence to conclude that there is a significant relationship among the variables.    

(c) Do not reject H0. There is insufficient evidence to conclude that there is a significant relationship among the variables.

(d) Reject H0. There is insufficient evidence to conclude that there is a significant relationship among the variables.

2. Use α = 0.05 to test the significance of β1.

2a. State the null and alternative hypotheses.

(a) H0: β1 ≠ 0
Ha: β1 = 0
(b) H0: β1 = 0
Ha: β1 ≠ 0

    

(c) H0: β1 = 0
Ha: β1 > 0
(d) H0: β1 = 0
Ha: β1 < 0
(e) H0: β1 < 0
Ha: β1 = 0

2b. Find the value of the test statistic. (Round your answer to two decimal places.)

2c. Find the p-value. (Round your answer to three decimal places.)

p-value =

2d. State your conclusion.

(a) Do not reject H0. There is sufficient evidence to conclude that β1 is significant.

(b) Do not reject H0. There is insufficient evidence to conclude that β1 is significant.    

(c) Reject H0. There is sufficient evidence to conclude that β1 is significant.

(d) Reject H0. There is insufficient evidence to conclude that β1 is significant.

2e. Should x1 be dropped from the model?

Yes

No

3.Use α = 0.05 to test the significance of β2.

3a. State the null and alternative hypotheses.

(a) H0: β2 < 0
Ha: β2 = 0
(b)H0: β2 ≠ 0
Ha: β2 = 0

    

(c)H0: β2 = 0
Ha: β2 ≠ 0
(d)H0: β2 = 0
Ha: β2 > 0
(e)H0: β2 = 0
Ha: β2 < 0

3b. Find the value of the test statistic. (Round your answer to two decimal places.)

3c. Find the p-value. (Round your answer to three decimal places.)

p-value =

3d. State your conclusion.

(a) Reject H0. There is insufficient evidence to conclude that β2 is significant.

(b) Do not reject H0. There is sufficient evidence to conclude that β2 is significant.   

(c) Do not reject H0. There is insufficient evidence to conclude that β2 is significant.

(d) Reject H0. There is sufficient evidence to conclude that β2 is significant.

3e. Should x2 be dropped from the model?

Yes

No

In: Statistics and Probability

You meet with Elizabeth and discuss the expected revenue and costs related to the Cookie Shop...

You meet with Elizabeth and discuss the expected revenue and costs related to the Cookie Shop that she is planning on opening. Elizabeth has done her marketing research of customer demand and what customers are willing to pay for a dozen cookies. Elizabeth provides the Revenue and Cost information below and states you that she thinks that the shop will only be able to sell 1,000 dozen of cookies in a month based on this data.

Quantity of cookies sold (in dozens) 1,000

Selling price for a dozen cookies $17.50

Variable Cost to bake a dozen cookies $9.75

Monthly Fixed Expenses of the shop

Rent for the shop $3,000.00

Lease cost for baking equipment $1,200.00

Utilities and Maintenance $500.00

Wages paid to 1 part-time employee $1,000.00

Total Monthly Fixed Expenses $5,700.00

Elizabeth said that she will be quitting her job to work full-time in the Cookie Shop. She says that her monthly living expenses total $4,000 per month (including payments for her college loans, car payment, apartment rent and food and other living expenses). So she needs you to help her determine how many dozens of cookies will she have to sell in a month to have the Cookie Shop make $4,000 in Net income.

Monthly Target Profit $4,000.00

You discuss with Elizabeth the following 3 options that could be implemented

Option # 1 Increase the selling price of a dozen cookies by 20%. This will casue a 10% decrease in the monthly unit (dozen) sales.

# 2 Increase the selling price of a dozen cookies by 20% and spend $750 monthly for a social media marketing campaign. This is expected to keep the monthly unit sales at 1,000 dozen

# 3 Move home and live with her parents and save $2,000 per month in living expenses. This would allow the monthly target income to be reduced from $4,000 to $2,000. Use the original revenue and cost assumptions.

Elizabeth needs help with the following questions:
1 Using the original revenue and cost assumptions, how many dozens of cookies would the shop have to sell to breakeven?
answer:
2 Using the original revenue and cost assumptions how many dozens of cookies would the shop have to sell to make a profit of $4,000?
answer:
3 What is the monthly net income if the selling price of the cookies is increased 20% and the unit sales decrease by 10%, with no change in fixed costs (from the original amounts)?
answer:
4 What is the monthly net income if the selling price of the cookies is increased 20% and the unit sales do not change and total fixed cost increases as a result of the marketing expense of $750 (from the original amounts)?
answer:
5 If Elizabeth moves back in with her parents so that her monthly living expenses are lowered to $2,000 from the current level of $4,000 and the original assumptions of revenue and costs are used, how many dozen cookies need to be sold to have the shop have a net income of $2,000?
answer:
6 How would you explain to Elizabeth the viability of the option of her moving back in with her parents. Discuss the impact that the lower profit requirement has on the number of sales units needed to be sold.  
answer:
7 Of the three options proposed which one would you recommend that Elizabeth follow? Support your recommendation.
answer:
8 As a friend, based on the information you analyzed, is there anything that you would want to tell Elizabeth regarding quitting her job and opening a Cookie Shop ?
answer:

In: Accounting

A firm’s revenue is given as: R= 100q + 8q2. The firm’s total cost of production...

A firm’s revenue is given as: R= 100q + 8q2. The firm’s total cost of production is given as: C= 250 + 500q.

  1. Find out the firm’s profit-maximization level of output (q*).
  2. What will be the market price at which the firm sells the output, q*?

In: Economics

A firm in a perfectly competitive industry faces the following cost and revenue conditions: ATC =...

A firm in a perfectly competitive industry faces the following cost and revenue conditions: ATC = $6; AVC = $3; MR = MC = $5. The firm is

In: Economics