Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately allocate hotel resources and fix pricing strategies. Mary, the President of Hellenic Hoteliers Federation (HHF) is interested in investigating how labour costs (variable L_COST) relate to the number of rooms in a hotel (variable Total_Rooms). Suppose that HHF has hired you as a business analyst to develop a linear model to predict hotel labour costs based on the total number of rooms per hotel using the data provided.
3.1 Use the least squares method to estimate the regression coefficients b0 and b1
3.2 State the regression equation
3.3 Plot on the same graph, the scatter diagram and the regression line
3.4 Give the interpretation of the regression coefficients b0 and b1 as well as the result of the t-test on the individual variables (assume a significance level of 5%)
3.5 Determine the correlation coefficient of the two variables and provide an interpretation of its meaning in the context of this problem 3.6 Check statistically, at the 0.05 level of significance whether there is any evidence of a linear relationship between labour cost and total number of rooms per hotel
Total_Rooms L_COST
412 2.165.000
313 2.214.985
265 1.393.550
204 2.460.634
172 1.151.600
133 801.469
127 1.072.000
322 1.608.013
241 793.009
172 1.383.854
121 494.566
70 437.684
65 83.000
93 626.000
75 37.735
69 256.658
66 230.000
54 200.000
68 199.000
57 11.720
38 59.200
27 130.000
47 255.020
32 3.500
27 20.906
48 284.569
39 107.447
35 64.702
23 6.500
25 156.316
10 15.950
18 722.069
17 6.121
29 30.000
21 5.700
23 50.237
15 19.670
8 7.888
20
11
15 3.500
18 112.181
23
10 30.000
26 3.575
306 2.074.000
240 1.312.601
330 434.237
139 495.000
353 1.511.457
324 1.800.000
276 2.050.000
221 623.117
200 796.026
117 360.000
170 538.848
122 568.536
57 300.000
62 249.205
98 150.000
75 220.000
62 50.302
50 517.729
27 51.000
44 75.704
33 271.724
25 118.049
42
30 40.000
44
10 10.000
18 10.000
18
73 70.000
21 12.000
22 20.000
25 36.277
25 36.277
31 10.450
16 14.300
15 4.296
12
11
16 379.498
22 1.520
12 45.000
34 96.619
37 270.000
25 60.000
10 12.500
270 1.934.820
261 3.000.000
219 1.675.995
280 903.000
378 2.429.367
181 1.143.850
166 900.000
119 600.000
174 2.500.000
124 1.103.939
112 363.825
227 1.538.000
161 1.370.968
216 1.339.903
102 173.481
96 210.000
97 441.737
56 96.000
72 177.833
62 252.390
78 377.182
74 111.000
33 238.000
30 45.000
39 50.000
32 40.000
25 61.766
41 166.903
24 116.056
49 41.000
43 195.821
9
20 96.713
32 6.500
14 5.500
14 4.000
13 15.000
13 9.500
53 48.200
11 3.000
16 27.084
21 30.000
21 20.000
46 43.549
21 10.000
In: Statistics and Probability
Consider the movie ticket and popcorn example discussed in
Section 17.7. The theater sells two products, tickets and popcorn.
Suppose the weekly demand for movie tickets is
Qdtix=500−25Ptix−20Ppopcorn,
where Ptix and
Ppopcorn are the prices of a ticket
and a bag of popcorn, respectively. Suppose that each time a
moviegoer buys a ticket, his demand for popcorn is
Qdpopcorn=3−0.4Ppopcorn,
where Qdpopcorn is the number of
bags of popcorn the moviegoer buys. Suppose further that the
theater's marginal cost of a ticket is $2, while the marginal cost
of popcorn is $3.
Instructions: Round your answer to 2 decimal
places.
a. What is the profit-maximizing price of a movie ticket if a bag
of popcorn sells for $5 a bag?
$.
In: Advanced Math
Question Set 1: Two Independent Proportions
Reminder: The standard error is computed differently for a two-sample proportion confidence interval and a two-sample proportion hypothesis test.
Researchers are comparing the proportion of University Park students who are Pennsylvania residents to the proportion of World Campus students who are Pennsylvania residents. Data from a sample are presented in the contingency table below.
|
Primary Campus |
Total |
|||
|
University Park |
World Campus |
|||
|
Pennsylvania Resident |
Yes |
115 |
70 |
185 |
|
No |
86 |
104 |
190 |
|
|
Total |
201 |
174 |
375 |
|
B. Interpret the confidence interval that you computed in part A by completing the following sentence. [5 points]
I am 95% confident that…
C. Use the five-step hypothesis testing procedure given below to determine if there is evidence of a difference between the proportion of University Park students who are Pennsylvania residents and the proportion of World Campus students who are Pennsylvania residents. If assumptions are met, use the normal approximation method. Use Minitab Express. You should not need to do any hand calculations. Remember to copy+paste all relevant Minitab Express output. [30 points]
Step 1: Check assumptions and write hypotheses
Step 2: Calculate the test statistic
Step 3: Determine the p-value
Step 4: Decide to reject or fail to reject the null hypothesis
Step 5: State a real-world conclusion
In: Statistics and Probability
Alternative Inventory Methods Park Company's perpetual inventory records indicate the following transactions in the month of June: Units Cost/Unit Inventory, June 1 200 $3.20 Purchases: June 3 200 3.50 June 17 250 3.60 June 24 300 3.65 Sales: June 6 300 June 21 200 June 27 150 Required: 1. Compute the cost of goods sold for June and the inventory at the end of June using each of the following cost flow assumptions: If required, round your answers to the nearest dollar. FIFO Cost of Goods Sold $ Ending Inventory $ LIFO (Round your intermediate calculations and final answers to the nearest cent.) Cost of Goods Sold $ Ending Inventory $ Average cost (In your computations, round new per unit costs to the nearest cent. Round your intermediate computations and final answers to the nearest dollar.) Cost of Goods Sold $ Ending Inventory $ 2. Why are the cost of goods sold and ending inventory amounts different for each of the three methods? 3. produces the most realistic amount for net income because it produces the most realistic amount for ending inventory because it 4. If Park uses IFRS, which of the previous alternatives would be acceptable and why? The input in the box below will not be graded, but may be reviewed and considered by your instructor.
In: Accounting
The hurricane in the Bahamas caused a small decrease in the supply of hotel rooms but a very large decrease in demand for hotel rooms as tourists cancel their planned trips. The result of these two effects on the market for hotel rooms is:
Group of answer choices
an increase in the equilibrium price and a decrease in the equilibrium quantity
a decrease in the equilibrium price and a decrease in the equilibrium quantity
an unknown change in the equilibrium price and a decrease in the equilibrium quantity
a decrease in the equilibrium price and an unknown change in the equilibrium quantity
In: Economics
IN JAVA
Write a program that calculates the occupancy rate for each floor of a hotel. (Use a sentinel value and please point out the sentinel in bold.) The program should start by asking for the number of floors in the hotel. A loop should then iterate once for each floor. During each iteration, the loop should ask the user for the number of rooms on the floor and the number of them that are occupied. After all the iterations, the program should display the number of rooms the hotel has, the number of them that are occupied, the number that are vacant, and the occupancy rate for the hotel. Input Validation: Do not accept a value less than 1 for the number of floors. Do not accept a number less than 10 for the number of rooms on a floor.
In: Computer Science
Exercise 5.4
Refer back to exercise 2.2. Suppose that you fit the model to 20
data points and found that your F – value for testing the model is
useful is 49.75.
Exercise 2.2
A hotel manager is concerned about hotel room rates for a large
chain of hotels. The variables to be used in this research is
defined as follows:
Y = the daily rate of a room
X1 = the population of the city
X2 = the rating of the hotel (1 star to 5 stars)
X3 = the number of rooms in the hotel
X4 = the number of hotels in the city
Answer the following:
A.) Now conduct the F-test for model utility.
B.) In exercise 5.4, what is the conclusion?
| a. |
the model is not useful |
|
| b. |
the model is useful |
|
| c. |
the results are inconclusive |
In: Math
a. In the hotel industry, package rate refers to a...
| A. | room sold using a fade rate. | |
| B. | rooms that is sold at full or "rack" rate. | |
| C. | group of hotel products and service sold for one price. | |
| D. | rooms rate discount offered to members of a consortium. |
b. Which is the best description of an individual hotel's competitive set?
| A. | Hotels located in close proximity to the individual hotel | |
| B. | Hotels that offer the same rate as the individual hotel | |
| C. | Hotels with the same brand affiliation as the individual hotel | |
| D. | Hotels with which the individual hotel directly competes |
c. In the short run, when room supply is held constant...
| A. | changes in room demand will not affect the selling prices of rooms. | |
| B. | a decrease in demand for rooms typically leads to a decreased selling price. | |
| C. | a decrease in demand for rooms typically leads to an increase in selling price. | |
| D. | an increase in demand for rooms typically leads to a decreased selling price. |
d. GOPPAR is best defined as hotel's...
| A. | revenue less management controllable costs per available room. | |
| B. | ADR x RevPAR x Occupancy % | |
| C. | revenue less management controllable costs per sold room. | |
| D. | ADR x RevPAR |
In: Operations Management
1. Who is Tommy Saleh, what is his job title and duties and what type of hotel does he work for?
2. What event did he have to analyze to determine if his company should go forward with it? Summarize the process he and his company went through to make their decision on whether or not to hold the event.
In: Operations Management
In: Accounting