Questions
The accompanying table shows a portion of data consisting of the selling price, the age, and...

The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. PictureClick here for the Excel Data File Selling Price Age Miles 13,554 7 61,477 13,713 8 54,368 22,970 2 8,242 15,260 2 24,882 16,386 1 22,126 16,639 7 23,654 16,902 2 47,397 18,485 3 16,820 18,830 7 35,376 19,828 3 29,634 11,896 8 55,775 14,937 6 46,198 15,879 3 37,035 16,467 7 45,548 9,478 8 86,924 12,994 6 77,257 15,710 7 59,600 10,517 9 93,215 8,940 10 48,217 11,953 10 42,411 a. Determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answer to 2 decimal places.) Priceˆ = + Age + Miles. b. Interpret the slope coefficient of Age. The slope coefficient of Age is −487.30, which suggests that for every additional year of age, the predicted price of car decreases by $487.30. The slope coefficient of Age is −0.08, which suggests that for every additional year of age, the predicted price of car decreases by $0.08. The slope coefficient of Age is −487.30, which suggests that for every additional year of age, the predicted price of car decreases by $487.30, holding number of miles constant. The slope coefficient of Age is −0.08, which suggests that for every additional year of age, the predicted price of car decreases by $0.08, holding number of miles constant. c. Predict the selling price of a eight-year-old sedan with 68,000 miles. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Priceˆ = $

In: Math

Mount Alberta in Jasper National Park, Alberta, has an elevation of 3620 m above sea level....

Mount Alberta in Jasper National Park, Alberta, has an elevation of 3620 m above sea level. Determine the atmospheric pressure at the top of Mount Alberta, assuming a sea level pressure of 101 kPa and a temperature of 12°C. (Consider that the average molar mass of air is 29 g/mol.)

In: Physics

Have you ever ridden a free-fall ride at an amusement park, where the riders are suspended...

Have you ever ridden a free-fall ride at an amusement park, where the riders are suspended at a terrifying height and then plummet towards the ground in free fall? These rides use a Lenz’s law mechanism to slow the drop. Explain how Lenz’s law applies to this situation and why this mechanism is ideal for such an application.

In: Physics

2. According to Newton’s Law of Cooling, the rate of change of the temperature of an...

2. According to Newton’s Law of Cooling, the rate of change of the temperature of an object can be modeled using the following differential equation:

dT/dt = k(T-TR)

where T is the temperature of the object (in ◦F), TR is the room temperature (in ◦F), and κ is the constant of proportionality.
On a crime show, the detective discovers a dead body in a hotel room.
(a) Write the differential equation to describe the change in temperature of the body if κ = −0.405 and thermostat in the hotel room is set at 70◦F.
(b) Solve the differential equation using an appropriate method. State the method you used and show your work.
(c) Assuming the victim was a healthy 98.6◦F at the time of the murder, we have the initial condition that T(0) = 98.6. Find the particular solution to the IVP.
(d) If the body temperature is 85◦F when the crime scene is discovered, how long has the victim been dead? (Assume t is measured in hours.)

In: Advanced Math

) Braha Boda Hotel’s is a company in the hospitality industry that take care of travelers...

) Braha Boda Hotel’s is a company in the hospitality industry that take care of travelers along its area of operation. The budgets for the Hotel got the year 2010 are as follows:

                                                         GHS                            GHS

Occupants Charges                                                          1,100,000

Costs:                 

Variable:

Direct supplies.                         80,000

Direct salaries                           600,000

Occupation service:

   Overheads                             65,000

   Administration.                     92,000

Fixed:

Overheads                               125,000

Administration                        140,000                         1,102,000

Loss                                                                                 (2,000)

Additional Information:

1. Number of rooms available        100 per day

2. Occupants days                         24,000 per annum

You are required to compute:

(i)   The contribution margin ratio.

(ii) The break-even point in both occupants’ days and occupants’ charges.

(iii) The margin of safety ratio if the Hotel operates at fully capacity.

(iv) The break-even points one occupants’ days of direct salary were

increased to GHS626,000.

(v) The break-even in occupants’ days if fixed occupants service overheads were increased to GHS145,000.

In: Accounting

Case 401 Hotel Front Office Management Ana Chavarria, front office manager, and Lorraine DeSantes, director of...

Case 401

Hotel Front Office Management

Ana Chavarria, front office manager, and Lorraine DeSantes, director of marketing and sales, have just returned from a computer conference at which they were able to look at the latest property management systems for hotels. Ana is enthusiastic about updating and adopting front office applications for reservations, registration, room status, posting, call accounting, checkout, and night audit. Lorraine is sure the marketing and sales applications will help her department be more efficient. Both realize the cost involved in obtaining modules for a property management system. What would you suggest they do prior to discussing this issue with Margaret Chu, general manager of The Times Hotel? Assuming Ms. Chu is willing to consider the purchase of a PMS, how should Ana and Lorraine proceed? Whom should they include in developing a PMS adoption plan, and why? What areas should they investigate?

In: Operations Management

Please answer fast! time limit ! just need 200 words+ Business Law paper 1.Identify the key...

Please answer fast! time limit ! just need 200 words+ Business Law paper

1.Identify the key legal issue(s) and address the question raised; 2) identify and correctly summarize supportive case law and any applicable statutory law and 3) in your analysis, apply law, including case law, to the facts in the essay prompt.

Question:Bianca was hired to drive an airport shuttle for a hotel. When Bianca was hired, she signed a written contract that stated specifically that she was an independent contractor. The hotel pays her by the hour and makes no withholding from her pay for taxes. She drives the hotel’s van and wears the required uniform when she is on duty. She is on-call twenty-four hours per day and she transports the hotel’s guests back and forth to the airport at the hotel’s request. Is Bianca an employee or independent contractor? Explain and provide thorough legal analysis.

In: Operations Management

A large hotel chain buys its cleaning supplies in bulk from a national vendor.  The hotal purchasing...

A large hotel chain buys its cleaning supplies in bulk from a national vendor.  The hotal purchasing manager currently orders a multi-purpose cleanser used to  clean the guest bathrooms in quantities of 6,000 gallons at a time.  She is considering changing the order quantity to the EOQ.  The manager has collected the data in the table below.  Use the data to answer questions a-d below.  The hotel is open 365 days out of the year.
Inventory Information for Shower Cleanser
The Cost of a Gallon of the Cleanser $9.95
Annual Holding Cost (as a % of Cost) 18%
Cost to Place an Order $15.00
Average Daily Demand (in gallons) 1000
Current Order Quantity 6000
a)  What is the EOQ for the cleanser?
b)  What would the annual ordering cost be under the EOQ?
c)  What would the annual holding cost be under the EOQ?
d)  How much money would the company save annually if it switched to the EOQ?

In: Operations Management

The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000?seat arena that is home to...

The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000?seat arena that is home to the city’s professional basketball and ice hockey teams and that hosts a variety of concerts, trade shows, and conventions throughout the year. The hotel has experienced the following occupancy rates for the past 9 years, since the coliseum opened:

1..............83

2..............78

3..............75

4..............81

5..............86

6..............85

7..............89
8...............90
9...............86

a.Use Excel and POM?QM to compute an exponential smoothing forecast with ? = .20, an adjusted exponential smoothing forecast with ? = .20 and ? = .20. Print your results.                                                  b.Use POM?QM to compute a linear trend line forecast. Print your results. Use the linear function obtained from POM?QM to manually compute forecast for year 11 through 13.                                          c.Use MAD to compare three forecasts and indicate which seems to be most accurate.

In: Operations Management

A touristic destination is assessing the effectiveness of their business, both in terms of the true...

A touristic destination is assessing the effectiveness of their business, both in terms of the true average of visitors and in the stability of the visits during a particular season.
For the previous charge, they select a random sample days of days with the premise that effectiveness should overcome the 93% of the room occupancy.
The records indicate a historic variance of 7.3 and the days selected show the following number of occupied rooms show the following:
78; 77; 76; 78; 77; 79; 77; 76; 75; 74; 77; 78; 76; 76; 76; 78; 78; 79; 75; 76; 77
1) Determine the necessary sample size if the total number of rooms of the hotel 80 and there are records that show as ordinary 93% occupancy, they would need for the estimation of the population proportion parameter with a margin of error less than 10%.
2) Determine the 98 % confidence interval for the true average for the occupied rooms.
3) Determine the 90 % Confidence interval for the variance of occupied rooms in the hotel

In: Math