Questions
The file HW_09.xlsx contains data from a survey of 105 randomly selected households (once you click...

The file HW_09.xlsx contains data from a survey of 105 randomly selected households (once you click cell C1, “Ownership,” you can see what 0 and 1 stand for).

a. In an effort to explain the variation in the size of the monthly home mortgage or rent payment, estimate a multiple regression equation that includes all of the potential household independent variables.

b. Interpret the ANOVA table for this model. In particular, does this set of independent variables provide at least some power in explaining the variation in the dependent variable? Report the F ratio statistics and p- value for this hypothesis test.

c. Interpret coefficients of independent variables in the model.

d. Using the regression output, determine which of the independent variables should be excluded from the regression equation. Justify your choices.

e. Do you obtain substantially different results if you combine First Income and Second Income into a Total income variable and then use the latter as the only income independent variable?

Household Family Size Ownership First Income Second Income Total Income Utilities Debt Family Size Ownership Monthly Payment
1 2 1 $58,206 $38,503 $96,709 $252 $5,692 2 1 $1,585
2 6 0 $48,273 $29,197 $77,470 $216 $4,267 6 0 $1,314
3 3 0 $37,582 $28,164 $65,746 $207 $2,903 3 0 $383
4 3 0 $37,731 $21,454 $59,185 $217 $3,011 3 0 $743
5 4 0 $30,434 $26,007 $56,441 $208 $3,718 4 0 $991
6 6 0 $36,970 $31,838 $68,808 $222 $4,845 6 0 $991
7 3 0 $27,350 $20,969 $48,319 $209 $2,256 3 0 $619
8 2 0 $29,692 $20,617 $50,309 $190 $879 2 0 $997
9 2 0 $49,883 $29,240 $79,123 $201 $3,482 2 0 $902
10 4 1 $57,577 $52,088 $109,665 $255 $6,261 4 1 $903
11 3 0 $66,868 $57,974 $124,842 $202 $3,911 3 0 $574
12 2 1 $48,376 $39,894 $88,270 $257 $5,889 2 1 $1,407
13 3 1 $65,241 $47,205 $112,446 $254 $5,737 3 1 $699
14 3 1 $34,531 $21,536 $56,067 $264 $5,538 3 1 $988
15 3 0 $18,846 $12,196 $31,042 $214 $1,852 3 0 $746
16 3 1 $49,181 $35,091 $84,272 $264 $7,020 3 1 $1,510
17 4 1 $65,276 $61,140 $126,416 $261 $7,212 4 1 $1,091
18 2 0 $23,597 $20,798 $44,395 $211 $1,796 2 0 $402
19 5 0 $28,851 $22,682 $51,533 $225 $3,452 5 0 $696
20 3 1 $62,276 $31,231 $93,507 $249 $6,428 3 1 $1,548
21 4 1 $42,639 $32,912 $75,551 $258 $4,469 4 1 $919
22 2 1 $35,592 $23,074 $58,666 $245 $5,516 2 1 $1,669
23 3 1 $49,777 $27,773 $77,550 $256 $5,239 3 1 $1,049
24 3 1 $21,451 $13,309 $34,760 $259 $3,731 3 1 $493
25 7 1 $37,808 $28,022 $65,830 $286 $7,228 7 1 $722
26 5 1 $67,798 $33,945 $101,743 $264 $6,067 5 1 $1,424
27 5 1 $63,354 $52,656 $116,010 $277 $6,153 5 1 $1,458
28 2 0 $30,693 $23,046 $53,739 $199 $3,763 2 0 $977
29 4 1 $49,954 $30,758 $80,712 $260 $5,179 4 1 $1,062
30 2 1 $55,752 $37,404 $93,156 $253 $5,768 2 1 $1,660
31 5 0 $43,436 $21,855 $65,291 $215 $2,767 5 0 $699
32 5 1 $36,780 $21,609 $58,389 $279 $5,311 5 1 $573
33 3 0 $64,489 $43,448 $107,937 $207 $3,934 3 0 $748
34 2 1 $30,433 $23,929 $54,362 $244 $4,648 2 1 $1,318
35 5 0 $20,234 $17,507 $37,741 $223 $3,030 5 0 $572
36 2 0 $16,252 $11,539 $27,791 $206 $1,428 2 0 $669
37 3 1 $75,225 $71,930 $147,155 $260 $6,434 3 1 $1,272
38 2 1 $38,838 $36,513 $75,351 $247 $4,428 2 1 $1,084
39 3 1 $60,993 $44,220 $105,213 $257 $6,675 3 1 $1,476
40 2 0 $31,051 $26,520 $57,571 $195 $1,821 2 0 $1,033
41 2 0 $27,222 $17,215 $44,437 $201 $3,705 2 0 $520
42 2 0 $27,651 $18,644 $46,295 $195 $3,661 2 0 $501
43 3 1 $53,650 $50,636 $104,286 $259 $7,043 3 1 $1,292
44 5 0 $42,168 $39,108 $81,276 $221 $1,739 5 0 $490
45 4 1 $36,472 $33,832 $70,304 $260 $5,895 4 1 $1,435
46 4 1 $63,572 $54,048 $117,620 $249 $6,165 4 1 $1,123
47 2 1 $50,233 $39,539 $89,772 $259 $7,177 2 1 $1,293
48 3 0 $35,466 $28,368 $63,834 $212 $3,949 3 0 $776
49 2 1 $77,892 $74,072 $151,964 $246 $6,309 2 1 $875
50 4 1 $53,117 $48,393 $101,510 $254 $6,956 4 1 $1,534
51 4 1 $56,310 $41,558 $97,868 $261 $7,363 4 1 $1,283
52 4 1 $34,259 $28,438 $62,697 $251 $5,235 4 1 $1,302
53 5 1 $36,065 $28,020 $64,085 $278 $5,430 5 1 $640
54 2 1 $56,330 $54,315 $110,645 $254 $5,429 2 1 $989
55 2 1 $54,863 $41,329 $96,192 $245 $6,172 2 1 $1,751
56 3 0 $36,373 $32,341 $68,714 $207 $3,187 3 0 $428
57 5 0 $60,940 $57,432 $118,372 $218 $2,615 5 0 $888
58 3 1 $53,249 $39,777 $93,026 $254 $7,415 3 1 $1,469
59 2 1 $59,064 $53,545 $112,609 $255 $4,752 2 1 $943
60 2 0 $48,232 $30,728 $78,960 $199 $3,285 2 0 $1,134
61 3 1 $62,280 $52,654 $114,934 $259 $4,497 3 1 $1,278
62 3 1 $37,184 $27,569 $64,753 $265 $5,736 3 1 $1,014
63 2 1 $86,398 $43,989 $130,387 $241 $6,145 2 1 $1,137
64 4 1 $62,522 $55,855 $118,377 $265 $7,345 4 1 $831
65 3 0 $41,490 $35,158 $76,648 $205 $3,144 3 0 $578
66 6 1 $45,391 $30,121 $75,512 $275 $5,991 6 1 $1,040
67 2 0 $36,588 $30,278 $66,866 $202 $1,800 2 0 $602
68 2 0 $48,726 $48,694 $97,420 $203 $3,120 2 0 $622
69 4 0 $38,740 $24,806 $63,546 $208 $2,584 4 0 $568
70 4 0 $26,219 $16,165 $42,384 $211 $3,309 4 0 $530
71 4 1 $46,667 $29,334 $76,001 $255 $5,735 4 1 $1,250
72 4 1 $65,115 $53,755 $118,870 $259 $5,481 4 1 $1,300
73 3 0 $40,397 $31,725 $72,122 $214 $2,916 3 0 $576
74 3 1 $73,734 $73,481 $147,215 $264 $4,112 3 1 $1,731
75 3 1 $58,580 $51,488 $110,068 $261 $3,671 3 1 $670
76 3 1 $55,806 $37,384 $93,190 $257 $6,247 3 1 $1,676
77 3 1 $48,455 $31,331 $79,786 $270 $5,719 3 1 $635
78 2 1 $40,858 $34,114 $74,972 $247 $5,212 2 1 $1,049
79 2 1 $59,737 $59,510 $119,247 $254 $5,924 2 1 $1,588
80 4 0 $36,395 $27,650 $64,045 $215 $3,067 4 0 $655
81 3 1 $42,843 $36,965 $79,808 $261 $4,963 3 1 $1,500
82 5 0 $21,557 $14,322 $35,879 $217 $2,606 5 0 $658
83 3 0 $37,186 $24,577 $61,763 $204 $2,759 3 0 $689
84 2 1 $35,479 $21,271 $56,750 $255 $3,933 2 1 $964
85 6 0 $30,584 $17,372 $47,956 $223 $4,229 6 0 $586
86 5 1 $39,096 $37,336 $76,432 $263 $6,631 5 1 $1,203
87 5 0 $24,128 $13,889 $38,017 $216 $2,812 5 0 $762
88 3 0 $23,302 $20,987 $44,289 $223 $2,961 3 0 $626
89 2 1 $49,132 $36,007 $85,139 $250 $6,796 2 1 $2,171
90 2 1 $56,838 $32,021 $88,859 $252 $5,963 2 1 $810
91 4 1 $61,955 $57,445 $119,400 $253 $6,727 4 1 $1,460
92 5 0 $34,354 $22,543 $56,897 $228 $5,593 5 0 $778
93 4 0 $24,442 $12,940 $37,382 $205 $2,013 4 0 $558
94 5 0 $22,259 $19,683 $41,942 $223 $2,408 5 0 $680
95 6 1 $48,910 $40,063 $88,973 $268 $6,810 6 1 $1,007
96 3 1 $22,991 $14,387 $37,378 $257 $4,661 3 1 $1,252
97 2 1 $84,820 $70,096 $154,916 $245 $6,661 2 1 $1,467
98 7 0 $39,602 $32,198 $71,800 $237 $5,906 7 0 $848
99 3 0 $31,100 $28,489 $59,589 $210 $2,072 3 0 $1,083
100 3 1 $58,451 $29,753 $88,204 $257 $6,623 3 1 $1,470
101 4 0 $20,277 $14,502 $34,779 $215 $2,794 4 0 $500
102 2 1 $33,963 $33,168 $67,131 $243 $4,006 2 1 $991
103 3 0 $30,482 $18,684 $49,166 $208 $4,557 3 0 $588
104 3 1 $90,488 $68,619 $159,107 $262 $7,904 3 1 $1,537
105 3 1 $61,174 $35,481 $96,655 $261 $4,504 3 1 $1,601

In: Statistics and Probability

Which of the following sets of quantum numbers are not allowed? For the sets that are...

Which of the following sets of quantum numbers are not allowed? For the sets that are incorrect state what is wrong. For the sets that are correct, give the orbital designation (eg 1s, 2px).
n l ml ms
a) 2 1 +1 +1/2 b) 2 2 -1 -1/2 c)75-4 0
d) 4 2 -2 +1/2

In: Chemistry

Consider the following time series: Quarter Year 1 Year 2 Year 3 1 66 63 57...

Consider the following time series:

Quarter Year 1 Year 2 Year 3
1 66 63 57
2 48 40 50
3 59 61 54
4 73 76 67

Use a multiple linear regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)

Compute the quarterly forecasts for next year.
Year Quarter Ft
4 1
4 2
4 3
4 4

In: Statistics and Probability

Question 1: Preparation and Presentation of the Balance Sheet/Statement of Financial Position Upside-Down Trading Limited, a...

Question 1: Preparation and Presentation of the Balance Sheet/Statement of Financial Position
Upside-Down Trading Limited, a company listed on the Music Stock Exchange, is a trading and investment
entity. The company trades exclusively in steel and aluminium component, and also has an investing arm.
Upside-Down Trading Limited have just engaged you as their finance director to assist in the preparation
of the entity’s 2021 financial statements. The financial period of the company is from September 1 to
August 31.
The company has provided you the following list of accounts, and the trial balance totals per each account,
as at end of their current final year:
Account Name Trial Balance Figure
11% Debentures $50,000,000
7% Bonds (Due in Less than 12 Months) $5,000,000
Accounts Payable $15,890,000
Accounts Receivables $14,500,000
Cash and Cash Equivalents $11,950,000
Copyright and R&D $4,100,000
Cost of Goods Sold $56,100,390
Current Tax Liabilities $6,900,000
Employee Benefit Obligations $8,100,000
Finance Expenses $4,502,000
Goodwill $18,540,000
Inventory $75,650,000
Loans Due in Less than 12 Months $16,850,000
Long-Term Investments $196,000,000
Long-Term Loans $215,580,000
Loss on Sale of Equipment $5,100,450
Other Payables $1,830,000
Other Receivables (Due in more than 12 Months) $1,520,000
Paid-Up Capital $218,702,000
Plant and Equipment $168,221,000
Prepaid Expenses $5,020,000
Property $312,512,000
Reserves $150,072,000
Retained Earnings $122,589,000
Sales Revenue $158,900,000
Short-Term Investments $6,500,000
Additional Information:
1. During the year, Upside-Down Trading Limited purchased $7,000,000 worth of machine
equipment that has yet to be added to the relevant non-current asset account.
2. For the period ended August 31, 2021, Upside-Down Global Trading Limited recorded a loss of
$7,500,000. This amount has already been closed to the Retained Earnings balance as per the trial
balance.

Page | 2
3. The internal auditor found from a recent review that $4,000,000 of loans listed as being payable in
next 12 months are not due till 2026.
4. All prepaid expenses are expected to be consumed by the end of December 31, 2021.
5. Upside Down Trading Limited has been offered $15,000,000 to sell its properties. The transaction
would – if accepted – be accepted in June 2028.
6. In 2019 the company sold property valued at $19,000,000 for $26,000,000. The company is of the
opinion that in 2024 it will purchase property to the value of $11,000,000.
7. The value of the Inventory as shown in the trial balance is the net realizable value. The value of
inventory at cost is $65,650,000.
Required:
Using the information supplied, prepare a balance sheet/statement of financial position for Upside-Down
Trading Limited for the end of 2025 that conforms with IFRS IAS 1 recommendations and requirements of
the course.

justify your answer with all steps clearly please (NOT HAND WRITING ) thanks

In: Accounting

If C is the part of the circle (x2)2+(y2)2=1(x2)2+(y2)2=1 in the first quadrant, find the following...

If C is the part of the circle (x2)2+(y2)2=1(x2)2+(y2)2=1 in the first quadrant, find the following line integral with respect to arc length.

∫C(8x−6y)ds

In: Advanced Math

Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately...

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%) Determine the correlation coefficient of the two variables and provide an interpretation of its meaning in the context of this problem.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

STARS Total_Rooms Region_ID ARR_MAY ARR_AUG L_COST
5 412 1 95 160 2.165.000
5 313 1 94 173 2.214.985
5 265 1 81 174 1.393.550
5 204 1 131 225 2.460.634
5 172 1 90 195 1.151.600
5 133 1 71 136 801.469
5 127 1 85 114 1.072.000
4 322 1 70 159 1.608.013
4 241 1 64 109 793.009
4 172 1 68 148 1.383.854
4 121 1 64 132 494.566
4 70 1 59 128 437.684
4 65 1 25 63 83.000
3 93 1 76 130 626.000
3 75 1 40 60 37.735
3 69 1 60 70 256.658
3 66 1 51 65 230.000
3 54 1 65 90 200.000
2 68 1 45 55 199.000
1 57 1 35 90 11.720
4 38 1 22 51 59.200
4 27 1 70 100 130.000
3 47 1 60 120 255.020
3 32 1 40 60 3.500
3 27 1 48 55 20.906
2 48 1 52 60 284.569
2 39 1 53 104 107.447
2 35 1 80 110 64.702
2 23 1 40 50 6.500
1 25 1 59 128 156.316
4 10 1 90 105 15.950
3 18 1 94 104 722.069
2 17 1 29 53 6.121
2 29 1 26 44 30.000
1 21 1 42 54 5.700
1 23 1 30 35 50.237
2 15 1 47 50 19.670
1 8 1 31 49 7.888
1 15 1 40 55 3.500
1 18 1 35 40 112.181
4 10 1 57 97 30.000
2 26 1 35 40 3.575
5 306 2 113 235 2.074.000
5 240 2 61 132 1.312.601
5 330 2 112 240 434.237
5 139 2 100 130 495.000
4 353 2 87 152 1.511.457
4 324 2 112 211 1.800.000
4 276 2 95 160 2.050.000
4 221 2 47 102 623.117
4 200 2 77 178 796.026
4 117 2 48 91 360.000
3 170 2 60 104 538.848
3 122 2 25 33 568.536
5 57 2 68 140 300.000
4 62 2 55 75 249.205
3 98 2 38 75 150.000
3 75 2 45 70 220.000
3 62 2 45 90 50.302
5 50 2 100 180 517.729
4 27 2 180 250 51.000
3 44 2 38 84 75.704
3 33 2 99 218 271.724
3 25 2 45 95 118.049
2 30 2 30 55 40.000
3 10 2 40 70 10.000
2 18 2 60 100 10.000
2 73 2 22 41 70.000
2 21 2 55 100 12.000
1 22 2 40 100 20.000
1 25 2 80 120 36.277
1 25 2 80 120 36.277
1 31 2 18 35 10.450
3 16 2 80 100 14.300
2 15 2 30 45 4.296
1 16 2 25 70 379.498
1 22 2 30 35 1.520
4 12 2 215 265 45.000
4 34 2 133 218 96.619
2 37 2 35 95 270.000
2 25 2 100 150 60.000
2 10 2 70 100 12.500
5 270 3 60 90 1.934.820
5 261 3 119 211 3.000.000
5 219 3 93 162 1.675.995
5 280 3 81 138 903.000
5 378 3 44 128 2.429.367
5 181 3 100 187 1.143.850
5 166 3 98 183 900.000
5 119 3 100 150 600.000
5 174 3 102 211 2.500.000
5 124 3 103 160 1.103.939
4 112 3 40 56 363.825
4 227 3 69 123 1.538.000
4 161 3 112 213 1.370.968
4 216 3 80 124 1.339.903
3 102 3 53 91 173.481
4 96 3 73 134 210.000
4 97 3 94 120 441.737
4 56 3 70 100 96.000
3 72 3 40 75 177.833
3 62 3 50 90 252.390
3 78 3 70 120 377.182
3 74 3 80 95 111.000
3 33 3 85 120 238.000
3 30 3 50 80 45.000
3 39 3 30 68 50.000
3 32 3 30 100 40.000
2 25 3 32 55 61.766
2 41 3 50 90 166.903
2 24 3 70 120 116.056
2 49 3 30 73 41.000
2 43 3 94 120 195.821
2 20 3 70 120 96.713
2 32 3 19 45 6.500
2 14 3 35 70 5.500
2 14 3 50 80 4.000
1 13 3 25 45 15.000
1 13 3 30 50 9.500
2 53 3 55 80 48.200
3 11 3 95 120 3.000
1 16 3 25 31 27.084
1 21 3 16 40 30.000
1 21 3 16 40 20.000
1 46 3 19 23 43.549
1 21 3 30 40 10.000

In: Statistics and Probability

Prove series 2, (-1/2), (2/9), (-1/8) is convergent by the alternating series test and find the...

Prove series 2, (-1/2), (2/9), (-1/8) is convergent by the alternating series test and find the number of terms required to estimate the sum of the series with an error of less than 0.05

In: Math

Calculate the correlation coefficient for the following data: X=0, -1, -2, -3, -2, -2, 0, 1,...

Calculate the correlation coefficient for the following data:

X=0, -1, -2, -3, -2, -2, 0, 1, 2, 3, 2, 1

Y=3, 2, 1, 0, -1, -2, -3, -2, -1, 0, 1, 2

Find through Excel.

In: Statistics and Probability

Let x3 be the following vector: x3 <- c(0, 1, 1, 2, 2, 2, 3, 3,...

Let x3 be the following vector: x3 <- c(0, 1, 1, 2, 2, 2, 3, 3, 4) Imagine what a histogram of x3 would look like. Assume that the histogram has a bin width of 1. How many bars will the histogram have? Where will they appear? How high will each be? When you are done, plot a histogram of x3 with bin width = 1, and see if you are right.

I need code help R programming

In: Computer Science

Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately...

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 line3.4 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%) 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

STARS Total_Rooms Region_ID ARR_MAY ARR_AUG L_COST
5 412 1 95 160 2.165.000
5 313 1 94 173 2.214.985
5 265 1 81 174 1.393.550
5 204 1 131 225 2.460.634
5 172 1 90 195 1.151.600
5 133 1 71 136 801.469
5 127 1 85 114 1.072.000
4 322 1 70 159 1.608.013
4 241 1 64 109 793.009
4 172 1 68 148 1.383.854
4 121 1 64 132 494.566
4 70 1 59 128 437.684
4 65 1 25 63 83.000
3 93 1 76 130 626.000
3 75 1 40 60 37.735
3 69 1 60 70 256.658
3 66 1 51 65 230.000
3 54 1 65 90 200.000
2 68 1 45 55 199.000
1 57 1 35 90 11.720
4 38 1 22 51 59.200
4 27 1 70 100 130.000
3 47 1 60 120 255.020
3 32 1 40 60 3.500
3 27 1 48 55 20.906
2 48 1 52 60 284.569
2 39 1 53 104 107.447
2 35 1 80 110 64.702
2 23 1 40 50 6.500
1 25 1 59 128 156.316
4 10 1 90 105 15.950
3 18 1 94 104 722.069
2 17 1 29 53 6.121
2 29 1 26 44 30.000
1 21 1 42 54 5.700
1 23 1 30 35 50.237
2 15 1 47 50 19.670
1 8 1 31 49 7.888
1 20 1 35 45 0
1 11 1 40 55 0
1 15 1 40 55 3.500
1 18 1 35 40 112.181
3 23 1 40 55 0
4 10 1 57 97 30.000
2 26 1 35 40 3.575
5 306 2 113 235 2.074.000
5 240 2 61 132 1.312.601
5 330 2 112 240 434.237
5 139 2 100 130 495.000
4 353 2 87 152 1.511.457
4 324 2 112 211 1.800.000
4 276 2 95 160 2.050.000
4 221 2 47 102 623.117
4 200 2 77 178 796.026
4 117 2 48 91 360.000
3 170 2 60 104 538.848
3 122 2 25 33 568.536
5 57 2 68 140 300.000
4 62 2 55 75 249.205
3 98 2 38 75 150.000
3 75 2 45 70 220.000
3 62 2 45 90 50.302
5 50 2 100 180 517.729
4 27 2 180 250 51.000
3 44 2 38 84 75.704
3 33 2 99 218 271.724
3 25 2 45 95 118.049
2 42 2 28 40 0
2 30 2 30 55 40.000
1 44 2 16 35 0
3 10 2 40 70 10.000
2 18 2 60 100 10.000
1 18 2 16 20 0
2 73 2 22 41 70.000
2 21 2 55 100 12.000
1 22 2 40 100 20.000
1 25 2 80 120 36.277
1 25 2 80 120 36.277
1 31 2 18 35 10.450
3 16 2 80 100 14.300
2 15 2 30 45 4.296
1 12 2 40 65 0
1 11 2 30 50 0
1 16 2 25 70 379.498
1 22 2 30 35 1.520
4 12 2 215 265 45.000
4 34 2 133 218 96.619
2 37 2 35 95 270.000
2 25 2 100 150 60.000
2 10 2 70 100 12.500
5 270 3 60 90 1.934.820
5 261 3 119 211 3.000.000
5 219 3 93 162 1.675.995
5 280 3 81 138 903.000
5 378 3 44 128 2.429.367
5 181 3 100 187 1.143.850
5 166 3 98 183 900.000
5 119 3 100 150 600.000
5 174 3 102 211 2.500.000
5 124 3 103 160 1.103.939
4 112 3 40 56 363.825
4 227 3 69 123 1.538.000
4 161 3 112 213 1.370.968
4 216 3 80 124 1.339.903
3 102 3 53 91 173.481
4 96 3 73 134 210.000
4 97 3 94 120 441.737
4 56 3 70 100 96.000
3 72 3 40 75 177.833
3 62 3 50 90 252.390
3 78 3 70 120 377.182
3 74 3 80 95 111.000
3 33 3 85 120 238.000
3 30 3 50 80 45.000
3 39 3 30 68 50.000
3 32 3 30 100 40.000
2 25 3 32 55 61.766
2 41 3 50 90 166.903
2 24 3 70 120 116.056
2 49 3 30 73 41.000
2 43 3 94 120 195.821
4 9 3 100 180 0
2 20 3 70 120 96.713
2 32 3 19 45 6.500
2 14 3 35 70 5.500
2 14 3 50 80 4.000
1 13 3 25 45 15.000
1 13 3 30 50 9.500
2 53 3 55 80 48.200
3 11 3 95 120 3.000
1 16 3 25 31 27.084
1 21 3 16 40 30.000
1 21 3 16 40 20.000
1 46 3 19 23 43.549
1 21 3 30 40 10.000

In: Statistics and Probability