E10.12 Interfund Transactions

Interfund transfers of the general fund of Timberline County for 2020 were as follows:

1. $2,000,000 advance to the Park Development special revenue fund, to permit initial expenditures under a project to be fully supported by a federal grant.

2. $1,500,000 to the Timberline County Fire Protection District (a special revenue fund) as the county’s contribution to fire and emergency medical service activities for the year.

3. $500,000 from the Roads capital projects fund, unspent proceeds of a bond issue.

4. $3,000,000 to the County Hospital (enterprise fund), as the city’s cost of services provided.

5. $2,900,000 to the Airport Fund (enterprise fund) to temporarily finance the maintenance of runways.

6. $2,000,000 from the Park Development special revenue fund, to repay the advance.

Required

For each of the above interfund transfers, state how the transaction is reported on the general fund’s balance sheet and/or statement of revenues, expenditures, and changes in fund balances.

Most Major airports have separate lots for long-term and short-term parking. The cost to park depends on the lot you select , and how long you stay. Considering this rate structure on the lot you select, and how long you stay. Consider this rate structure from the Salt Lake International Airport during the summer of 2016.

Long-Term (Economy) Parking

-The First Hour is $2.00, and each additional hour or fraction thereof is $1.00

-Daily maximum $9.00

-Weekly maximum $60

Short Term Parking

-The first 30 minutes are $2.00 and each additional 20 minutes or fraction thereof is $1.00

-Daily maximum $32.00

Write a program using matlab that asks the user the following:

-Which lot are you using?

-How many weeks, hours, days, and minutes did you park? Your program should calculate the parking bill.

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.

Representatives of hotels, restaurants, hotel and restaurant supply companies, and other businesses located in Portland, Oregon, organized an association to attract conventions to their city. Members were asked to make contributions equal to 1 percent of their sales to finance the association. To aid collections, hotel members, including Hilton Hotels Corporation, agreed to give preferential treatment to suppliers who paid their assessments and to curtail purchases from those who did not. This agreement violated federal antitrust laws. The United States sued the members of the association, including Hilton Hotels, for the crime of violating federal antitrust laws. Can a corporation be held criminally liable for the acts of its representatives? If so, what criminal penalties can be assessed against the corporation? United States v. Hilton Hotels Corp., 467 F.2d 1000, Web 1972 U.S. App. Lexis 7414 (United States Court of Appeals for the Ninth Circuit)

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

I need only the 3.4 and 3.5 questions.

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

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

Use this Fact Set for Questions 2-7: Three retailing giants, Best Buy Co., Inc. (NYSE: BBY), Amazon.com, Inc., (NASDAQ: AMZN), and Target Corporation (NYSE: TGT) each use a different inventory costing method. Best Buy uses weighted-average cost, Amazon uses FIFO, and Target uses LIFO. As you will see from the hypothetical example below, the use of a different inventory costing method will lead to differences in income statements and balance sheets. Best Buy, Amazon and Target sell a popular T-shirt for $20. Let’s assume that all three companies have the same sale and inventory purchase pattern for the same period.

Beginning inventory: 20,000 @ $4.00

Purchases: 30,000 @ $5.00

Ending inventory: 10,000

2. (0.5 point) How many T-shirts were sold by each retailer during the period? a. 10,000 T-shirts b. 20,000T- shirts c. 30,000 T-shirts d. 40,000 T-shirts

3. (0.7 point) What is cost of goods sold, gross profit and cost of ending inventory for Best Buy using the weighted-average inventory costing method?

a. $180,000; $620,000; $50,000 b. $190,000; $610,000; $40,000 c. $184,000; $616,000; $46,000 d. $150,000; $680,000; $62,000

4. (0.7 point) What is cost of goods sold, gross profit and cost of ending inventory for Amazon using the FIFO inventory costing method?

a. $180,000; $620,000; $50,000 b. $190,000; $610,000; $40,000 c. $184,000; $616,000; $46,000 d. $150,000; $680,000; $62,000

5. (0.7 point) What is cost of goods sold, gross profit and cost of ending inventory for Target using the LIFO inventory costing method?

a. $180,000; $620,000; $50,000 b. $190,000; $610,000; $40,000 c. $184,000; $616,000; $46,000 d. $150,000; $680,000; $62,000

6. (0.7 point) Which company has the highest gross profit (profitability) simply due to its choice of accounting inventory method?

a. Best Buy b. Amazon c. Target d. Gross profit was the same for all of the companies, since they sold the same amount shirts for the same price as well as they pay the same price for their inventory

7. (0.7 point) Which company will save the most on income taxes? (hint: the less income you report, the less income taxes you pay)

a. Best Buy b. Amazon c. Target d. The tax bill will be same for all of the companies since they sold the same number of shirts for the same price as well as they paid the same price for their inventory.

Do the following production functions have increasing, decreasing, or constant returns to scale? Which ones fail to satisfy the law of diminishing returns?

2. ? = min(??, ??)

3. ?=?₁^0.3 ?₂^0.3 ?^0.3