Questions
Debra Dillinger, Inc. was incorporated in Connecticut in 1992. Debra Dillinger owns 82% of the stock...

Debra Dillinger, Inc. was incorporated in Connecticut in 1992. Debra Dillinger owns 82% of the stock of Debra Dillinger, Inc. Unrelated individuals hold the remaining stock. In 1993 Debra formed Connecticut Motors and in 1995 Debra formed Long Island Sound Motors. Debra owned 85% of the stock of Connecticut Motors and 85% of the stock of Long Island Sound Motors. Unrelated individuals own the remaining stock of these two corporations. All three corporations are involved in the business of buying, selling and repairing foreign-made sports cars. Each corporation owns a different franchise for selling and servicing different makes of foreign-made cars. In 2018, Connecticut Motors sold all of its shop equipment and vacated its business address. It did not purchase any new automobiles. Long Island Sound Motors had two locations in Connecticut. It closed one location in early 2018 and then closed the other location in mid-2018. All previously sold cars for Connecticut Motors and Long Island Sound Motors were serviced through Debra Dillinger, Inc. On November 1, 2018, Connecticut Motors and Long Island Sound Motors merged into Debra Dillinger, Inc. Connecticut Motors and Long Island Sound Motors were both insolvent at the time of the merger. Debra Dillinger, Inc. issued its stock to the shareholders of Connecticut Motors and Long Island Sound Motors. On the date of the merger Connecticut Motors was indebted to Debra Dillinger, Inc. in the amount of $32,450 and Long Island Sound Motors was indebted to Debra Dillinger, Inc. for $14,300. Both corporations were insolvent. What issues may the IRS raise concerning this merger? Assume that the merger meets all Connecticut statutes.

In: Accounting

Two morphs of the marine snail Littorina saxatilis have been identified on rocky intertidal shores in...

Two morphs of the marine snail Littorina saxatilis have been identified on rocky intertidal shores in Galacia, Spain. Johannesson et al (1995) made the following observations about these snails:

  • One morph consists of snails with smooth, unbanded shells. These snails are found in the blue mussel zone, low in the intertidal. The other morph consists of snails with ridged, banded shells. These snails are found high in the intertidal, in the barnacle zone.
  • All snails feed on algae, but algal species differ between the two zones.
  • The two morphs overlap in a narrow midshore band at the border of the blue mussel and barnacle zones.
  • Mating in the midshore band is not random. Females prefer to mate with males of the same morph, and only 8% of the snails in the midshore band are hybrids.
  • Some female hybrids have been observed with embryos in their brood pouches, indicating that they are not sterile. However, the survival rates of hybrids relative to the survival rates of pure morphs are unknown.

Consider the information provided in this case study in addressing the questions below.

Are the two morphs separate species:

  • According to the biological species concept?
  • According to the morphospecies concept?
  • According to the ecological species concept?

For each species concept, define the species concept, explain what information you used to answer the question, and suggest one piece of additional information that would be relevant in helping you to decide if the two morphs are separate species.

Answer should show an understanding of the species concepts and a defensible use of evidence

  • Correct definition of species concept
  • Selection of evidence that is relevant to the species concept and good explanation of how the evidence is used.
  • Clear description of additional evidence that is relevant to the species concept

In: Biology

Exhibit 1 Flight Plan Consulting, Inc. Sales and Earnings Trend Year        Sales Net Income After-Tax...

Exhibit 1

Flight Plan Consulting, Inc.

Sales and Earnings Trend

Year

       Sales

Net Income After-Tax

EPS

1992

$2,000,000

$240,000

$0.60

1993

2,750,000

338,000

0.84

1994

3,200,000

384,000

0.96

1995

5,000,000

575,000

1.44

1996

5,700,000

600,000

1.50

1997

6,200,000

713,000

1.78

1998

7,300,000

803,000

2.00

1999

8,500,000

860,000

2.15

2000

9,100,000

900,000

2.25

2001

10,300,000

912,720

2.28

Exhibit 2

Flight Plan Consulting, Inc.

Balance Sheet

December 31, 2001

($000’s)

Current Assets

$1,500

Current Liabilities

$400

Fixed Assets

1,500

Long-Term Debt

600

Common Stock ($1 par value)

400

Retained Earnings

1,600

Total Assets

$3,000

Total Lia. & Equity

$3,000

Exhibit 3

Flight Plan Consulting

Selected Capital Market & Industry Data [1]

Yield on AAA Corporate Debt

6%

Yield on 10-year US-Government Bonds

5.1%

Historical (10-year) return on a broad market average of common stock

16%

Dividend Payout Ratio of a sample of 10 specialized consulting firms

25%

[1] The long-term debt on FPC’s balance sheet carried a coupon rate of 7% and will mature in 5 years. The firm was in the 30% (combined) tax bracket, and had a dividend payout ratio of 30%. The present market price of the firm’s common stock is $18.

What are FPC's historical (book) costs of debt and equity?

What is FPC's historical weighted average cost of capital (WACC)?

In: Finance

Exhibit 1 Flight Plan Consulting, Inc. Sales and Earnings Trend Year        Sales Net Income After-Tax...

Exhibit 1

Flight Plan Consulting, Inc.

Sales and Earnings Trend

Year

       Sales

Net Income After-Tax

EPS

1992

$2,000,000

$240,000

$0.60

1993

2,750,000

338,000

0.84

1994

3,200,000

384,000

0.96

1995

5,000,000

575,000

1.44

1996

5,700,000

600,000

1.50

1997

6,200,000

713,000

1.78

1998

7,300,000

803,000

2.00

1999

8,500,000

860,000

2.15

2000

9,100,000

900,000

2.25

2001

10,300,000

912,720

2.28

Exhibit 2

Flight Plan Consulting, Inc.

Balance Sheet

December 31, 2001

($000’s)

Current Assets

$1,500

Current Liabilities

$400

Fixed Assets

1,500

Long-Term Debt

600

Common Stock ($1 par value)

400

Retained Earnings

1,600

Total Assets

$3,000

Total Lia. & Equity

$3,000

Exhibit 3

Flight Plan Consulting

Selected Capital Market & Industry Data [1]

Yield on AAA Corporate Debt

6%

Yield on 10-year US-Government Bonds

5.1%

Historical (10-year) return on a broad market average of common stock

16%

Dividend Payout Ratio of a sample of 10 specialized consulting firms

25%

[1] The long-term debt on FPC’s balance sheet carried a coupon rate of 7% and will mature in 5 years. The firm was in the 30% (combined) tax bracket, and had a dividend payout ratio of 30%. The present market price of the firm’s common stock is $18.

What are FPC's historical (book) costs of debt and equity?

What is FPC's historical weighted average cost of capital (WACC)?

In: Finance

1. Use the​ year/subway fare data shown below. Let x represent the​ year, with 1960 coded...

1.

Use the​ year/subway fare data shown below. Let x represent the​ year, with 1960 coded as​ 1, 1973 coded as​ 14, and so on. Let y represent the subway fare. Does the best model appear to be a good​ model? Why or why​ not? Using the best​ model, find the projected subway fare in the year

20102010.

Year

1960

1973

1986

1995

2002

2003

Subway Fare

0.100.10

0.300.30

0.950.95

1.301.30

1.501.50

2.002.00

Does the best model appear to be a good​ model? Why or why​ not?

The best model is the ____ which does not appear

to be a good model because its coefficient of determination is R2 equals=

2

The data show systolic and diastolic blood pressure of certain people. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted diastolic pressure for a person with a systolic reading of

113113.

Use a significance level of 0.05.

Systolic

150150

129129

142142

112112

134134

122122

126126

120120

Diastolic

8888

9696

106106

8080

9898

6363

9595

6464

LOADING...

Click the icon to view the critical values of the Pearson correlation coefficient r.

What is the regression​ equation?

3.

isted below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. Answer parts

​a-c.

Budget​ (x)

6060

9292

5353

3535

191191

9595

8787

Gross​ (y)

6161

6464

4646

5252

545545

150150

4646

Click here to view a table of critical values for the correlation coefficient.

LOADING...

a. Find the value of the linear correlation coefficient r.

r= __________

​(Round to three decimal places as​ needed.)

In: Statistics and Probability

Analyze each of the following scientific reports, explaining how the pattern of the method of agreement...

Analyze each of the following scientific reports, explaining how the pattern of the method of agreement is manifested by each. Discuss, in each case, the limitations of the method of agreement as applied to that quest for a causal connection.

Medical researchers have concluded not only that the timing of sexual intercourse in relation to ovulation strongly influences the chance of conception, but that conception occurs only when intercourse takes place during a specifiable period in the menstrual cycle. The researchers summarized their findings thus:

We recruited 221 healthy women who were planning to become pregnant. At the same time the women stopped using birth control methods, they began collecting daily urine specimens and keeping daily records of whether they had sexual intercourse. We measured estrogen and progesterone metabolites in urine to estimate the day of ovulation. In a total of 625 menstrual cycles for which the dates of ovulation could be estimated, 192 pregnancies were initiated. . . . Two-thirds (n = 129) ended in live births. Conception occurred only when intercourse took place during a six-day period that ended on the estimated day of ovulation. The probability of conception ranged from 0.10 when intercourse occurred five days before ovulation to 0.33 when it occurred on the day of ovulation itself. Conclusion: Among healthy women trying to conceive, nearly all pregnancies can be attributed to intercourse during a six-day period ending on the day of ovulation.
—Allen J. Wilcox, Clarice R. Weinberg, Donna D. Baird, “Timing of Sexual Intercourse in Relation to Ovulation,” The New England Journal of Medicine, 7 December 1995

In: Nursing

3. (5.15) Manatees are large, gentle, slow-moving creatures found along the coast of Florida. Many manatees...

3.

(5.15) Manatees are large, gentle, slow-moving creatures found along the coast of Florida. Many manatees are injured or killed by boats. below contains data on the number of boats registered in Florida (in thousands) and the number of manatees killed by boats for the years between 1977 and 2013. (data are distorted):

YEAR BOATS MANATEES YEAR BOATS MANATEES YEAR BOATS MANATEES
1977 446 12 1989 712 50 2001 943 81
1978 458 22 1990 718 46 2002 964 95
1979 481 24 1991 683 53 2003 978 72
1980 497 15 1992 680 37 2004 982 70
1981 511 24 1993 677 36 2005 1010 79
1982 512 21 1994 697 48 2006 1025 91
1983 526 16 1995 711 42 2007 1029 73
1984 557 34 1996 732 60 2008 1010 90
1985 586 32 1997 753 54 2009 984 96
1986 615 33 1998 810 65 2010 942 84
1987 647 39 1999 830 81 2011 923 87
1988 674 44 2000 879 77 2012 904 82 2013 917 71

(a) Find the correlation rr (±±0.001)

rr =

(b) Find the equation of the least-squares line (±±0.001) for predicting manatees killed from thousands of boats registered.

yˆy^ = +xx

(c) What would you predict (±±0.1) number of manatees killed by boats to be if there are 900,000 boats registered?

(d) Predict (±±0.1) manatee deaths if there were no boats registered in Florida.

In: Statistics and Probability

You have the following data on quantity demand of commodity X and its price and other factors during 1991-2005:-

                                                                       Assignment 1( New Version)

You have the following   data on quantity demand of commodity X and its price and other factors during 1991-2005:-

year

Quantity ( Q)

KG

Expenditures ( M)

NIS

Price of X ( Px)

NIS/KG

Price of Substitutes   (Py )

NIS/KG

1991

4.0

400

9

10

1992

4.5

500

8

14

1993

5.0

600

9

12

1994

5.5

700

8

13

1995

6.0

800

7

11

1996

7.0

900

6

15

1997

6.5

1000

6

16

1998

6.5

1100

8

17

1999

7.5

1200

5

22

2000

7.5

1300

5

19

2001

8.0

1400

5

20

2002

10.0

1500

3

23

2003

9.0

1600

4

18

2004

9.5

1700

3

24

2005

8.5

1800

4

21

Based on the above data:-

  1. Draw the relationship between Q & P?
  2. Using the OLS, estimate the demand function in linear form.
  3. Comments on the results by taking into account any prior expectations you have about demand functions.

      4) Compute the predictable value of the dependent variable & the residuals?

     5) How much the change in Px, Py and Expenditures ( M) explains the variations in Q?

       6) Interpret the empirical results of the estimated equation?

        7) Calculate demand elasticities at the mean.

        8) Construct a confidence internal at 95% of estimated own price elasticity at the

            mean   and in the year of 2005?

         10) Construct a confidence interval of the quantity demanded in the years 2005 and in

         the year 2008 when Px=7, Py=3.5 ,Expenditures =1900

In: Statistics and Probability

(20 pts) Use the “Distance.sav” (SPSS) data set (located below) to perform a linear regression analysis....

  1. (20 pts) Use the “Distance.sav” (SPSS) data set (located below) to perform a linear regression analysis. This dataset shows how far on average a person in Illinois drives each year. Write your findings using the format presented in the class slides. (2 pts) How much of the variation in the dependent variable is explained by the variation in the independent variable? What statistic did you use? (2 pts) Is the linear model significantly different than zero? Why or why not? What statistic did you use? (4 pts) Do the model assumptions hold? Why or why not? Provide a thorough response. (Hint: Create both a Histogram and a Normal probability plot using the standardized residuals. Also create a scatterplot of Regression Standardized Residuals and the Regression Standardized Predicted Value of the dependent variable. Attach a copy of each below.)
Year Distance
1960 1472.08
1961 1564.80
1962 1603.03
1963 1670.65
1964 1840.97
1965 1936.46
1966 2031.93
1967 2093.46
1968 2163.59
1969 2205.16
1970 2281.37
1971 2398.31
1972 2503.06
1973 2623.12
1974 2575.82
1975 2604.13
1976 2740.65
1977 2791.32
1978 2886.16
1979 2870.89
1980 3049.89
1981 3107.49
1982 3202.19
1983 3240.61
1984 3400.64
1985 3461.57
1986 3617.96
1987 3887.96
1988 4148.67
1989 4476.36
1990 4506.32
1991 4499.51
1992 4487.92
1993 4470.72
1994 4559.77
1995 4636.48
1996 4745.51
1997 4831.20
1998 4897.49
1999 4978.39
2000 4958.52
2001 5024.30
2002 5131.16
2003 5152.03

In: Statistics and Probability

Mortgage interest rates and home prices 30-year mortgage rates year interest rate (%) Median home price...

Mortgage interest rates and home prices

30-year mortgage rates

year

interest rate (%)

Median home price

1988

10.30

183,800

1989

10.30

183,200

1990

10.10

176,900

1991

9.30

173,500

1992

8.40

172,900

1993

7.30

173,200

1994

8.40

173,200

1995

7.90

169,700

1996

7.60

174,500

1997

7.60

177,900

1998

6.90

188,100

1999

7.40

203,200

2000

8.10

230,200

2001

7.00

258,200

2002

6.50

309,800

2003

5.50

329,800

1.    Generate two separate scatter plots, following the requirements below, with the data provide.
a.    year and interest rate
b.    year and median home price

2. Use your graphs and calculations to answer the questions on blackboard. If you are lost, please review the excel word document.

Assessment:

Now that you have reviewed how to create a graph in excel. Open the attached excel document and generate the required graphs. You will utilize the graphs to answer the post lab questions below. Provide all your answer with two decimal places.

1. For the year and interest rate graph, what is the slope and the y intercept?

2. For the year and median home price, what is the slope and the y intercept?

3. Does the linear equation provided from the Year vs. Median Home graph, provide a highly recommended estimate for future home values? Explain your answer.

4. What is the expected median home price in 2019, based on the data from 1996 to 2003?

5. In what year will the interest rate reach 3.50%? (Round to the nearest year.)

In: Statistics and Probability