Questions
3300 Econometric HW obs RWAGES PRODUCT 1959 59.87100 48.02600 1960 61.31800 48.86500 1961 63.05400 50.56700 1962...

3300 Econometric HW

obs RWAGES PRODUCT
1959 59.87100 48.02600
1960 61.31800 48.86500
1961 63.05400 50.56700
1962 65.19200 52.88200
1963 66.63300 54.95000
1964 68.25700 56.80800
1965 69.67600 58.81700
1966 72.30000 61.20400
1967 74.12100 62.54200
1968 76.89500 64.67700
1969 78.00800 64.99300
1970 79.45200 66.28500
1971 80.88600 69.01500
1972 83.32800 71.24300
1973 85.06200 73.41000
1974 83.98800 72.25700
1975 84.84300 74.79200
1976 87.14800 77.14500
1977 88.33500 78.45500
1978 89.73600 79.32000
1979 89.86300 79.30500
1980 89.59200 79.15100
1981 89.64500 80.77800
1982 90.63700 80.14800
1983 90.59100 83.00100
1984 90.71200 85.21400
1985 91.91000 87.13100
1986 94.86900 89.67300
1987 95.20700 90.13300
1988 96.52700 91.50600
1989 95.00500 92.40800
1990 96.21900 94.38500
1991 97.46500 95.90300
1992 100.00000 100.00000
1993 99.71200 100.38600
1994 99.02400 101.34900
1995 98.69000 101.49500
1996 99.47800 104.49200
1997 100.51200 106.47800
1998 105.17300 109.47400
1999 108.04400 112.82800
2000 111.99200 116.11700
2001 113.53600 119.08200
2002 115.69400 123.94800
2003 117.70900 128.70500
2004 118.94900 132.39000
2005 119.69200 135.02100
2006 120.44700 136.40000

Problem 2.

Use the data in the “Autocorrelation” tab to test

  1. For Autocorrelation using the Durbin Watson Test

  2. Graph the Residuals and determine whether they are distributed normally or whether they are biased

In: Math

****C language**** char lName[][15] = {"Brum","Carroll","Carter","Dodson","Garbus", "Greenwood", "Hilliard", "Lee", "Mann", "Notz", "Pastrana", "Rhon", "Rodriguez", "Wilson", "Zimmerman"};...

****C language****

char lName[][15] = {"Brum","Carroll","Carter","Dodson","Garbus", "Greenwood", "Hilliard", "Lee", "Mann", "Notz", "Pastrana", "Rhon", "Rodriguez", "Wilson", "Zimmerman"};

char fName [][15] = {"Natalie","Cody","Sophia","Dominic","Chandler","Caleb","Sydnee","Peyton","Brianna","Zachery","Kevin","Luke","Juan","Kelci","Adam"};

char middleInitial[15]={'N','L','X','L','O','L','M','B','S','T','J','C','P','D','Z'};

char dob[][11]={"05/27/1935","11/27/1971","10/17/2003","12/08/1990","11/25/1991","10/30/1992","09/22/1993","08/04/1994","07/11/1995","06/18/1996","05/28/1997","04/07/1998","03/12/1999","02/23/2000","01/15/2001"};

How would we make a list ordered by their age, oldest first, Print the patient's full name and then their age.  Left justify the name and right justify the age.

Example:
Johnson, Fred N 80

**Half of the code is provided**

int patientAge[15] = {0};

for(int p = 0; p <15; p++)
{
int year = ((dob[p][6] - '0') * 1000) + ((dob[p][7] - '0') *100) + ((dob[p][8] - '0') * 10) + ((dob[p][9] - '0') * 1);

patientAge[p] = 2019 - year;
printf("%s, %s %c Age: %d\n",lName[p], fName[p], middleInitial[p], patientAge[p]);
}

In: Computer Science

USING MATLAB: Using the data from table below fit a fourth-order polynomial to the data, but...

USING MATLAB:

Using the data from table below fit a fourth-order polynomial to the data, but use a label for the year starting at 1 instead of 1872. Plot the data and the fourth-order polynomial estimate you found, with appropriate labels. What values of coefficients did your program find? What is the LMS loss function value for your model on the data?

Year Built SalePrice
1885 122500
1890 240000
1900 150000
1910 125500
1912 159900
1915 149500
1920 100000
1921 140000
1922 140750
1923 109500
1925 87000
1928 105900
1929 130000
1930 138400
1936 123900
1938 119000
1939 134000
1940 119000
1940 244400
1942 132000
1945 80000
1948 129000
1950 128500
1951 141000
1957 149700
1958 172000
1959 128950
1960 215000
1961 105000
1962 84900
1963 143000
1964 180500
1966 142250
1967 178900
1968 193000
1970 149000
1971 149900
1972 197500
1974 170000
1975 120000
1976 130500
1977 190000
1978 206000
1980 155000
1985 212000
1988 164000
1990 171500
1992 191500
1993 175900
1994 325000
1995 236500
1996 260400
1997 189900
1998 221000
1999 333168
2000 216000
2001 222500
2002 320000
2003 538000
2004 192000
2005 220000
2006 205000
2007 306000
2008 262500
2009 376162
2010 394432

In: Computer Science

Number Year Gross Income Price Index Adjusted Price Index Real Income 1 1991 50,599 136.2 1.362...

Number Year Gross Income Price Index Adjusted Price Index Real Income
1 1991 50,599 136.2 1.362 37150.51
2 1992 53,109 140.3 1.403 37853.88
3 1993 53,301 144.5 1.445 36886.51
4 1994 56,885 148.2 1.482 38383.94
5 1995 56,745 152.4 1.524 37234.25
6 1996 60,493 156.9 1.569 38555.13
7 1997 61,978 160.5 1.605 38615.58
8 1998 61,631 163.0 1.630 37810.43
9 1999 63,297 166.6 1.666 37993.40
10 2000 66,531 172.2 1.722 38635.89
11 2001 67,600 177.1 1.771 38170.53
12 2002 66,889 179.9 1.799 37181.21
13 2003 70,024 184.0 1.840 38056.52
14 2004 70,056 188.9 1.889 37086.29
15 2005 71,857 195.3 1.953 36793.14

The data from Exhibit 3 is also in the Excel file income.xls on the course website. Use Excel, along with this file, to determine Mrs. Bella’s real income for the last fifteen years. Do this by first converting each price index from percent by dividing by 100. Then, divide gross income by your converted (adjusted) price index. Using Excel, find the mean, median, standard deviation, and variance of her past real income. Explain the meaning of these statistics. Can you use mean income to forecast future earnings? Take into account both statistical and non-statistical considerations.

In: Math

Europeans Consume 45% of all gasoline produced worldwide - With the law of demand, you would...

Europeans Consume 45% of all gasoline produced worldwide
- With the law of demand, you would expect that when gas prices continue to rise, the demand would fall, but this isn’t necessarily the case, especially in the short term. (10% increase in gas is associated with a 1-2% decrease in quantity of gas purchased.
- In 2004-2005, avg gas price went from up 55% ($1.87 -> 2.90), but consumption only went down 3.5% (9.15 mill barrels to 8.83 mill barrels)
- From 1998 to 2004, average gas went up 53%, but consumption also went up 10% when you would normally think it would go down by 26-53%.

a) The above are estimates of 1 year and 6 year response of gas quantities purchased to changes in gas prices. Utilizing the above data, what are the estimates (expressed in rages) for the 1 year (short term) and 6 year (long term) price elasticities of demand for European Gasoline.
b) Using your answer from a), what will happen in the short run to European consumer’s total expenditures on gas as the price of gasoline rises. Will it stay the same, increase or decrease?
c) The figures from 2004-05 may overstate the drop in consumption because the head of energy in Europe measures gas before it reaches the retailer, and retailers may have used more of their inventories when there was a disruption in the supply chain. This implies a different short run price elasticity of demand for European gas than earlier studies estimate. What is this short run price elasticity?

In: Economics

Concert Nation] Concert Nation, INC. is a nationwide promoter of rock concerts. The president of the...

Concert Nation] Concert Nation, INC. is a nationwide promoter of rock concerts. The president of
the company wants to develop a model to estimate the revenue of a major concert event at large venues
(such as Ford Field, Madison Square Gardens) for planning marketing strategies. The company has
collected revenue data of 32 recent large concert events. For each concert, they have also recorded the
attendance, the number of concession stands in the venue, and the Billboard chart of the artist in the
week of each event. This data is available in “Tickets”. They have two potential models that could
explain the revenue. The two competing models are:

Model A: ??????? = ?? + ???????????? + ???????????? + ??????????? + ?0123?

Model B: ??????? = ?? + ???????????? + ??????????? + ?012?

Run regression on both models. Use only the regression outputs of the two models and the original data
to answer questions 1 to 7 below.
1. [1 pt] Let’s consider the model A first. What does the result of F-test indicate?
(a) The p-value of F-test is 100.83. Thus, the model does not significantly explain the revenue.
(b) The p-value of F-test is close to zero. Thus, all independent variables in the regression model are
statistically significant.
(c) The p-value of F-test is close to zero. This indicates that at least some independent variables in the
regression model significantly explain the revenue.
(d) This indicates weak evidence of a linear relationship, because the p-value is very low.
2
2. [1 pt] If we use model A for prediction, what is the point estimate for the revenue of a concert that has
attendance of 50,000 people, 5 concession stands, and the song ranked in no. 15 in the Billboard ranking?
(a) $3.145 M
(b) $2.851 M
(c) $3.252 M
(d) $340K
3. [1 pt] What is an approximate 95% prediction interval for the concert listed in the previous question?
(a) [$2.757M, $3.533M]
(b) [$2.463M, $3.239M]
(c) [$2.368M, $3.922M]
(d) [$2.074M, $3.628M]
4. [1 pt] Which of the following statement is correct?
(a) The estimated slope for the attendance is only $59.2. This means that, when keeping everything
else the same, the revenue does not depend much on the attendance.
(b) The t-statistic associated with the slope for the attendance variable is 16.9. This means that there is
too much noise to determine if the slope is definitely positive.
(c) The p-value for the concession variable is 0.933. This means that the number of concession stands
is not a statistically significant variable to determine the revenue.
(d) The p-value for the concession variable is 0.933. This means that the number of concession stands
is a statistically significant variable to determine the revenue.
5. [1 pt] Is it appropriate to use model A as a final model to estimate the revenue of a concert?
(a) Yes. All independent variables are statistically significant.
(b) Yes, because the analysis indicates a linear relationship between revenue and attendance.
(c) No, because not all independent variables are statistically important. Thus, revision is necessary.
(d) No, because some of the slopes were negative. Thus, revision is necessary.
3
6. [1 pt] Now, consider model B. According to model B, what is a point estimate for a concert that has
attendance of 50000 people, 5 concession stands, and the song ranked in no. 15 in the Billboard ranking?
(a) $3.147M
(b) $2.839M
(c) $7.139M
(d) $13.637M
7. [1 pt] Based on the regression outputs, which model would you consider more suitable for predicting the
revenue between the two models– Model A and Model B?
(a) Model A is more suitable, because it has a higher ?2, lower standard error of the estimates
(??), and lower F-test p-value.
(b) Model A is more suitable because the fraction of SST accounted for by the residuals is higher than
for model B.
(c) Model B is more suitable, because, while both models have similar ?2 and F-test p-value, model B
has lower standard error of the estimates (??) and all independent variables are statistically
significant.
(d) Model B is more suitable, because the slope coefficient is larger in magnitude.

Attendance # of concessions Billboard Charts Concert Revenue
30650 8 56 1531762
80997 1 87 4047180
93686 8 24 5805972
44405 4 99 2516538
77767 4 39 4197208
95780 7 35 6226065
82701 7 86 4123048
50165 8 29 3465110
50619 5 93 2843474
36259 7 86 1866318
52013 5 35 2670798
97447 7 71 5756817
69982 7 97 3681670
31789 10 72 2072149
39787 6 89 1964361
63596 5 65 3150802
73159 5 41 5064323
51172 8 1 2901564
54187 9 17 3170058
56681 7 1 3316764
78466 7 86 3825369
65132 8 86 2983563
52866 4 8 3091641
39536 2 20 3068049
32541 1 53 1796727
36441 1 60 2011990
74987 6 58 4389931
33791 8 81 1545359
64961 6 94 3792136
61429 3 86 2695672
68178 4 50 4147528
85701 5 52 5335423

In: Statistics and Probability

   Fred is a teenager who likes to listen to music and to play games on...

  1.    Fred is a teenager who likes to listen to music and to play games on his computer. Suppose that he has an annual entertainment budget of $144 and that each music CD costs $12 and each computer game costs $24.

Quantity Consumed                   Total Utility                    Total Utility

     (per year)                             of Music CDs                of Computer Games

            0                                           0                                     0

            1                                       200                                 160

            2                                       236                                 232

            3                                       268                                 296

            4                                       296                                 352

            5                                       320                                 400

            6                                      340                                 440

            7                                       344                                 472

  1. Calculate the marginal utility of each unit of music CDs and computer games.
  2. Using the prices mentioned above, calculate the marginal utility per dollar of music CDs and computer games. Round to two decimal places.
  3. What much of each good will Fred purchase to maximize satisfaction? (Find the utility-maximizing combination of music CDs and computer games.)
  4. What is the total amount of utility that Fred will receive when he consumes the combination computed in Part C, i.e. the total utility from the music CDs plus the total utility from the computer games?
  5. Given your answer in C, explain why buying two more music CDs and 1 less computer game makes Fred worse off.

In: Economics

1. Adam works for Marnie. Jessa is injured through Adam's negligence. Marnie may be liable to...

1. Adam works for Marnie. Jessa is injured through Adam's negligence. Marnie may be liable to Jessa if Adam’s conduct occurred

a. in the course and scope of Adam's employment.

b. during normal working hours.

c. outside the parties' employment relationship

d. is Adam had done it before but even if Marnie could not have known it.

2. Allie hires Lon to act as her agent to purchase The Notebook Company. Allie tells Lon to reveal that he is buying the gym on behalf of a third party and to tell the seller who that third party is. Allie is

a. an undisclosed principal.

b. a partially disclosed principal.

c. an apparent principal.

d. a disclosed principal

3. Tito is a editor for Entertainment Comic Books, Inc. Tito has a detailed job description, must work certain hours in his office, and must follow particular rules about how to edit the comics he receives from the artists and authors. Tito most likely is

a. an employee.

b. an independent contractor.

c. a principal.

d. an employer

4. Ryan and Miranda put their agency agreement into a written document that describes the rights and duties of both parties. Ryan, as the agent, has

a. apparent authority.

b. express authority.

c. equal authority.

d. implied authority

In: Economics

Mr. Anil working in Mumbai had provided the following information for the previous year______________; • Salary...

Mr. Anil working in Mumbai had provided the following information for the previous year______________;
• Salary – Rs. 20,000 per month
• Bonus equal to six months’ salary
• Transport Allowance (for coming to the office and going back to his residence) at Rs. 650 per month.
Entertainment Allowance – Rs. 500 per month
• Received House rent Allowance of Rs. 3,000 per month from the employer, but he paid a rent of Rs. 4,000 per month
• Personal Medical Bills of Rs. 32,200 were reimbursed by the employer. His treatment has been done in a private nursing home not belonged to the employer.
• His contribution to Company’s Recognized Provident Fund is Rs. 18,000 and the employer contributes an equal amount. The interest credited to PF account 9.5% p.a., Rs. 12,000.
• Interest on Government Securities – Rs. 3,000
• Income from Units of Mutual fund – Rs. 5,500 (Gross)
• Interest on Post Office Saving Bank – Rs. 6,500
• Donation paid to Prime Minister’s Drought Relief Fund – Rs. 2,500 by cheque.
• Donation paid to Government for Promotion of family planning – Rs. 2,000
• Life Insurance Premium paid during the year – Rs. 4,200
Compute total taxable income and tax liability thereon.

In: Accounting

The managing director of SleekMode Enterprises, a medium sized firm, are the operators of a number...

The managing director of SleekMode Enterprises, a medium sized firm, are the operators of a number of theme parks in a number a major cities across the country. The theme parks include facilities such as children’s play grounds, cinema halls, roller-coaster rides, restaurants and boat rides, among other attractions. Yeovil Mootooma, the chief marketing officer, has the task of increasing visitor numbers at the company’s theme parks across the country. The company has experienced consistent declines of about 5% in the last three fiscal years. This has led to significant falls in the company’s earnings per share. Yeovil Mootooma has turned to you unearth the possible factors the company needs to addresstoturnaroundthecompany’sfortunes. YourpreliminarymeetingswithYeovilMootooma suggests that the company has no direct competitors in terms of theme parks. However, it seemshouseholdsareattracted to other channels of family entertainment that has turned visitors away from the company’s theme parks. You are also made aware that there is a difference in the patronage of the current services in different parts of the country.

(a) What research questions (decision problems) does Yeovil Mootooma problem present?

(b) Outline a research design you would conduct to provide Yeovil Mootooma with the answers neededtodevelopastrategytochangethecompany’svisitor trend. Your response should provide justification for each action that would be undertaken.

In: Economics