Please Use R studio to answer this question
NY Marathon 2013 the table below shows the winning times (in minutes) for men and women in the new york city marathon between 1978 and 2013. (the race was not run in 2012 because of superstorm sandy.) assuming that performances in the big apple resemble performances elsewhere, we can think of these data as a sample of performance in marathon competitions. Create a 90% confidence interval for the mean difference in winning times for male and female marathon competitors.
|
Year |
Men |
Women |
Year |
Men |
Women |
|
1978 |
132.2 |
152.5 |
1996 |
129.9 |
148.3 |
|
1979 |
131.7 |
147.6 |
1997 |
128.2 |
148.7 |
|
1980 |
129.7 |
145.7 |
1998 |
128.8 |
145.3 |
|
1981 |
128.2 |
145.5 |
1999 |
129.2 |
145.1 |
|
1982 |
129.5 |
147.2 |
2000 |
130.2 |
145.8 |
|
1983 |
129.0 |
147.0 |
2001 |
127.7 |
144.4 |
|
1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 |
134.9 131.6 131.1 131.0 128.3 128.0 132.7 129.5 129.5 130.1 131.4 131.1 |
149.5 148.6 148.1 150.3 148.1 145.5 150.8 147.5 144.7 146.4 147.6 148.1 |
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 |
128.1 130.5 129.5 129.5 130.0 129.1 128.7 129.3 128.3 125.1 Cancelled 128.4 |
145.9 142.5 143.2 144.7 145.1 143.2 143.9 148.9 148.3 143.3 Cancelled 140.1 |
In: Statistics and Probability
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
For Autocorrelation using the Durbin Watson Test
Graph the Residuals and determine whether they are distributed normally or whether they are biased
In: Math
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
Consider a portion of monthly return data (In %) on 20-year Treasury Bonds from 2006–2010.
| Date | Return |
| Jan-06 | 3.13 |
| Feb-06 | 4.15 |
| ⋮ | ⋮ |
| Dec-10 | 4.48 |
Source: Federal Reserve Bank of Dallas.
Estimate a linear trend model with seasonal dummy variables to make forecasts for the first three months of 2011. (Round answers to 2 decimal places.)
| Year | Month | yˆty^t |
| 2011 | Jan | |
| 2011 | Feb | |
| 2011 | Mar | |
DATA:
| Index | Month | Year | Return |
| 1 | Jan | 2006 | 3.13 |
| 2 | Feb | 2006 | 4.15 |
| 3 | Mar | 2006 | 3.18 |
| 4 | Apr | 2006 | 4.94 |
| 5 | May | 2006 | 4.34 |
| 6 | Jun | 2006 | 4.19 |
| 7 | Jul | 2006 | 5.12 |
| 8 | Aug | 2006 | 5.26 |
| 9 | Sep | 2006 | 3.81 |
| 10 | Oct | 2006 | 3.1 |
| 11 | Nov | 2006 | 3.87 |
| 12 | Dec | 2006 | 4.89 |
| 13 | Jan | 2007 | 3.94 |
| 14 | Feb | 2007 | 3.42 |
| 15 | Mar | 2007 | 4.13 |
| 16 | Apr | 2007 | 3.54 |
| 17 | May | 2007 | 4.58 |
| 18 | Jun | 2007 | 4.19 |
| 19 | Jul | 2007 | 4.62 |
| 20 | Aug | 2007 | 3.89 |
| 21 | Sep | 2007 | 3.62 |
| 22 | Oct | 2007 | 3.92 |
| 23 | Nov | 2007 | 4.46 |
| 24 | Dec | 2007 | 3.23 |
| 25 | Jan | 2008 | 4.78 |
| 26 | Feb | 2008 | 4.71 |
| 27 | Mar | 2008 | 5.05 |
| 28 | Apr | 2008 | 3.46 |
| 29 | May | 2008 | 3.15 |
| 30 | Jun | 2008 | 4.82 |
| 31 | Jul | 2008 | 3.87 |
| 32 | Aug | 2008 | 3.78 |
| 33 | Sep | 2008 | 3.22 |
| 34 | Oct | 2008 | 5.39 |
| 35 | Nov | 2008 | 4.78 |
| 36 | Dec | 2008 | 5.5 |
| 37 | Jan | 2009 | 4.8 |
| 38 | Feb | 2009 | 5.2 |
| 39 | Mar | 2009 | 3.82 |
| 40 | Apr | 2009 | 4.52 |
| 41 | May | 2009 | 3.53 |
| 42 | Jun | 2009 | 4.66 |
| 43 | Jul | 2009 | 5.46 |
| 44 | Aug | 2009 | 3.49 |
| 45 | Sep | 2009 | 3.75 |
| 46 | Oct | 2009 | 4.84 |
| 47 | Nov | 2009 | 4.83 |
| 48 | Dec | 2009 | 4.35 |
| 49 | Jan | 2010 | 4.63 |
| 50 | Feb | 2010 | 5.32 |
| 51 | Mar | 2010 | 4.75 |
| 52 | Apr | 2010 | 3.28 |
| 53 | May | 2010 | 4.8 |
| 54 | Jun | 2010 | 3.21 |
| 55 | Jul | 2010 | 4.4 |
| 56 | Aug | 2010 | 3.31 |
| 57 | Sep | 2010 | 4.81 |
| 58 | Oct | 2010 | 5.4 |
| 59 | Nov | 2010 | 3.54 |
| 60 | Dec | 2010 | 4.48 |
In: Statistics and Probability
Pick three publicly traded companies; over the last week how much has the companies “value” changed by? You will need to determine the number of shares outstanding and find the high and low trading price over the week. What percentage has the companies value changed by over these seven days? Has anything happened with these companies that would warrant the change in price?
Make sure to give full and complete answers with support. Explanations should be a minimum of 5-6 sentences each.
In: Finance
True or False
A. Publicly-traded U.S. companies are able to supplement GAAP figures with additional non-GAAP figures they deem necessary.
B. The financial accounting standard board (FASB) establishes the rules for General Accounting Principles (GAAP)
C. Generally Accepted Accounting Principles are a set of accounting rules, standards, and financial reporting practices utilized in the U.S.
D. The realization or recognition principle dictates that revenues are recognized upon the delivery of products or services, regardless of when cash is exchanged.
In: Finance
If the balance sheet of a firm indicates that total assets exceed current liabilities plus shareholders' equity, then the firm must have:
|
a. no retained earnings. |
||
|
b. long-term debt. |
||
|
c. no accumulated depreciation. |
||
|
d. current assets. |
||
|
e. None of the above |
Corporations are referred to as public companies when their:
|
a. shareholders have no tax liability. |
||
|
b. shares are held by the federal or state government. |
||
|
c. stock is publicly traded. |
||
|
d. products or services are available to the public. |
||
|
e. None of the above |
In: Finance
The questions below are all based on the following assumptions:
1. Assume you are the CFO of a publicly traded corporation
2. Assume you are seeking to borrow and/or raise some money
3. Assume you have two options:
Option A: Sign with a bank for a 30-yr $100,000 bank loan at 3% APR
Option B: Issue a 30-yr $100,000 bond with a 3% coupon rate
Question 1) Which of the two options has the higher duration?
Question 2) In which of the options would you pay more interest over the full 30 years?
Question 3) Assuming that you knew interest rates were going to increase in the future, which of the two options would provide you with more free cash flow and flexibility to re-invest at the higher interest rate over the first 20 years?
In: Finance
For each of the following situations, what ethical problem may or may not be present. Other than issue cited, there are no other issues with the audit:
a. Scott CPA names his audit firm Super Audits, Inc. He also advertises that his firm's promise to the audit client is: Satisfaction Guaranteed!
b. Nina CPA works for the accounting firm of Dima and Associates, CPA. She leaves the accounting firm and goes to work for one of her former clients as Chief Financial Officer. Nina's new employer is: i. Not publicly traded. ii. Publicly traded.
c. Scott CPA works on the audit of Pepper, Inc. and his significant other works as Chief Financial Officer for Pepper. Scott's significant other is his: i. Live in Girlfriend. ii. Spouse.
d. Nina CPA goes to her audit client and explains that they can get a substantial refund on their tax bill if they follow her controversial but potentially lucrative suggestion. The amounts are material
e. Scott CPA audits Pepper Inc. Because Pepper is small and uses cash basis accounting. Scott calculates and enters all Adjusting Journal Entries into Pepper's books. Scott converts the books into proper accrual basis financial statements, prepares the Notes to the Financial Statements, and issues an Unqualified Opinion.
In: Accounting
On January 1, 2019 , Jerry Fallen transfers publicly traded debt securities with a fair market value of
$570,000 to a newly established inter vivos trust for which his 22 year old son, James, is the only
beneficiary. The cost of these securities to Jerry was $520,000. During 2019 , the securities earn and
receive interest of $32,000, all of which is distributed to James.
On January 1, 2020, the securities are transferred to James in satisfaction of his capital interest in the
trust. At this time, the fair market value of the securities has increased to $615,000. James sells all of
the securities for $615,000 on January 3, 2020.
Indicate the tax consequences for Jerry, James, and the trust, in each of the years 2019 and 2020
In: Accounting