7

7. The following 12 data pairs relate variable x_i, the amount of fertilizer, to variable Y_i, the amount of wheat harvested:             

                    x: 30 30 30 50 50 50 70 70 70 90 90 90

                    Y: 9 11 14 12 14 23 19 22 31 29 33 35                                                        

such that :

∑x = 720   ∑y = 252 ,   ∑ xy =17240,    ∑x² =49200,      ∑y² = 6228

a) Find equation of linear regression line: Y = A + BX. b) 95% 2 sided confidence interval for B. c) Is there regression on input variable? d) Find 2-sided 99% prediction interval for response if x₀ = 40. e) Calculate R², explain its meaning. [5+5+5+5+5 = 25]

In packet switched network, store and forward refers to

Which of the following HTTP methods allows a user to upload an object to a specific path on a Web server?

Which of the following is NOT a host?

Which of the following is NOT a layer of the Internet protocol stack?

Which of the following statements is NOT correct about retransmission in reliable data transfer protocol?

Which of the following is NOT one of the four sources of packet delay?

A user requests a Web page that consists of one HTML and two images. With non-persistent HTTP, how many RTTs, in addition to the object transmission time, are required for this page?

Barfly Inc. manufactures and markets a line of non-alcoholic mixers sold to restaurants and bars. Barfly’s Creative Bartender has recently experimented with making alcoholic versions with the intention of bottling and marketing these directly to the public through appropriate retail outlets. Prior spending on R&D was $1.5 million and Barfly anticipates spending half of that again during the first year of the project to conclude R&D (for total R&D of $2.25 million). The cost of building the manufacturing line is estimated at $1,175,000. Marketing projects revenues from the new product line will be 800,000 units in the first year, growth in years 2 and 3 at 15%, growth in year 4 at 10%, and 5% for year 5. While Barfly anticipates the product will have a longer life than 5 years, their initial projections are for a 5 year time horizon, fully depreciating the cost of plant and equipment over that time on a straight-line basis. Revenue per unit is projected to be $2.50 in the first year, with prices rising by 3% per year thereafter. COGS are projected to be 68% of revenues, SG&A 7% of revenues, and the company’s marginal tax rate is 32%. Net working capital required for the project is expected to be 2% of revenues annually once the project is fully online in year 1. Barfly’s balance sheet includes $3,000,000 in total capital, of which $980,000 is debt. The market yield to maturity on debt is 3.75%, the risk free rate on a 5-year Treasury is 3%, and the market risk premium is 6.5%. The company’s beta is 1.3 and the CFO uses the CAPM to estimate cost of equity.

Management has been studying the company’s capital structure and is considering using a small secondary offering of stock to pay down debt. The following data is used to determine the cost of debt under varying capital structures.

1. If Barfly issues $180,000 in new equity and uses the proceeds to repurchase (and defease*) existing debt, what would the resulting weighted average cost of capital be?

2)Should management move towards this capital structure? Why or why not?

Matching

Match the term in Column I with the definition in Column II.

The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the following data show the average number of passing yards per attempt (Yards/Attempt) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season.†

A. Develop the estimated regression equation that could be used to predict the percentage of games won given the average number of passing yards per attempt. (Round your numerical values to three decimal places.)

B. For the 2011 season, suppose the average number of passing yards per attempt for a certain NFL team was 6.4. Use the estimated regression equation developed in part (c) to predict the percentage of games won by that NFL team. (Note: For the 2011 season, suppose this NFL team's record was 8 wins and 8 losses. Round your answer to the nearest integer.)

Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight, x, or a 1-year-old baby and the weight, y, of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females. Please use this data to answer all parts of the question.

x (lbs) 21 25 23 24 20 15 25 21 17 24 26 22 18 19

y (lbs) 125 125 120 125 130 120 145 130 130 130 130 140 110 115

note: For these data, ?̅≈ 21.42, ?? ≈ 3.32, ?̅ ≈ 126.79, ?? ≈ 9.12 1.

a. Find the equation of the least-squares line: ?̂ = ? + ??. Round your results to two decimal places.

b. Compute the coefficient of determination, ? ^2 . What percentage of the variation in ? can be explained by the corresponding variation in ? (be sure to write this statement about weight as a 1-year-old and weight as an adult). What percentage is due to other factors? What does this tell you about how well our model fits the given data?

c. Interpret the slope of your least-squares line in the context of this application (what does the specific numeric value of the slope mean in terms of the relationship between weight as a 1-year-old and weight as an adult?).

ADRENOCORTICAL INSUFFICIENCY: ADDISON’S DISEASE

John Kennedy is a 41-YO father of two children and holds a highly stressful job. Over the past 3 months, he has lost 15 lbs and experienced extreme fatigue. He has also noticed decreased body hair in the axillary and pubic regions, and his skin was very tanned although he has not had time to bask in the sun.

In his physician’s office, John appeared very thin, with sunken eyes and decreased skin turgor. His supine blood pressure was 90/60 with a pulse rate of 95 beats/minute. When standing, his blood pressure was 70/40 with a pulse rate of 120 beats/minute. His skin was noted to be deeply pigmented.

Laboratory Data:

Venous Blood

                             Na+                                    126 mEq/L (normal: 140 mEq/L)

                             K+                                       5.7 mEq/L (normal: 4.5 mEq/L)

                             Osmolarity                       265 mOsm/L (normal: 290 mOsm/L)

                             Fasting Glucose               50 mg.dL (normal: 70-100 mg/dL)

                             Cortisol                             Decreased

                             ACTH                                 Increased

                             Aldosterone                     Decreased

Arterial Blood

              pH                                      7.32 (normal: 7.4)

              bicarbonate                     18 mEq/L (normal: 24 mEq/L)

The ACTH Stimulation Test was negative: there was no increase in serum level of cortisol or aldosterone. Based on the symptoms, physical examination, laboratory results, and ACTH Stimulation Test results, John was diagnosed with Primary Adrenocortical Insufficiency (Addison’s Disease). John was prescribed daily treatment with hydrocortisone (a synthetic glucocorticoid) and fludrocortisones (a synthetic minetalocorticoid). John was instructed to take the hydrocortisone in a larger dose at 8 a.m. and a smaller dose at 1 p.m.

At a follow-up meeting 2 weeks later, John’s circulating ACTH level was normal, he had gained 5 lbs, his blood pressure (supine and standing) was normal, his tan started ti fade, and he had more energy.

1. Why were John’s serum cortisol, aldosterone, and ACTH levels consistent with Addison’s Disease?

2. How did the negative ACTH Stimulation Test confirm the diagnosis?

3. How did the adrenocortical insufficiency decrease John’s arterial blood pressure?

4. Why was John’s fasting blood glucose level lower than normal?

5. Why was his serum potassium ion level elevated?

6. Why was his serum sodium ion level decreased?

7. Why did John have decreased axillary and pubic hair?

8. What was the cause of the hyperpigmentation?

9. What caused his ACTH level to eturn to normal after 2 weeks of treatment?

10. Why was John instructed to take a larger dose of hydrocortisone at 8 a.m. and a smaller dose at 1 p.m.?

A two-way table is given below, which shows the counts of the favorite leisure activities for 50 college students - 20 men and 30 women. Leisure Activity Yoga Sports TV Total Men 2 10 8 20 Women 16 6 8 30 Total 18 16 16 50 (a) What is the probability that a student selected at random is both a woman and student prefers Yoga? (b) What is the probability that a student is either a male or prefers sports? (c) What is the probability that a student selected at random prefers to watch television? (d) What is the probability that a female student selected at random, prefers television? (e) Draw the tree diagram for the above table. Be sure to label all probabilities.

For each chemical reaction or physical change, record your observations (i.e. color changes, a ppt or solid formation, gas bubbles/odors, heat production, etc.). Observations should be detailed descriptions of WHAT you see, hear, smell, and feel. Recording a (+/–) is NOT an observation!

Short Answers:

1. Zn/HCl (single displacement) OBSERVATIONS:

2. NaHCO3/HCl (double displacement) OBSERVATIONS:

3. Sugar (C12H22O11) (decomposition) OBSERVATIONS:

4.CuSO4•5H2O (decomposition) OBSERVATIONS:

5. Fe/CuSO4 (single displacement) OBSERVATIONS:

6. NH3/HCl (combination) OBSERVATIONS:

7. Cu/HCl and Al/HCl (single displacement) OBSERVATIONS (for BOTH):

8. K2SO4/Ba(NO3)2 (double displacement) OBSERVATIONS:

9. NaOH/HCl (double displacement) OBSERVATIONS:

QUESTIONS:

1. Which procedure(s) [#1 – #9] were NOT chemical reaction(s) as predicted above (there are two!)? Write the reaction(s) including physical states. How were you able to determine this (i.e. one is a physical change and one procedure did not react = no reaction)?

2. Which procedure(s) [#1 – #9] produced water(g) vapor (there are two possibilities!)? Write the reaction(s) including physical states. Which procedure resulted in a physical change?

3. Which procedure(s) [#1 – #9] produced a gas other than water(g) vapor (there are three!)? Write the reaction(s) including physical states. 4

. Which procedure(s) [#1 – #9] produced a solid from two non-solids (there are two!)? Write the reaction(s) including physical states.

5. Which procedure(s) [#1 – #9] produced heat (there is one!)? Write the reaction including physical states. 1/25/2018 9/9

6. Which procedure(s) [#1 – #9] produced copper metal (there is one!)? Write the reaction including physical states.

7. What is the difference between the denotations (aq) and (l)? Give a specific example of each one.

This is so hard! my class started 13 Jan 2020 ....Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer. This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points. Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit. 1.a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions. b) What the mean and Standard Deviation (SD) of the Close column in your data set? c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points) 2.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points) 3.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points) 4.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points) 5.At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points) 6.What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points) 7.Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points) There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.