Americans should learn to live without these two imported products. But, they should not have to give up these two imported products. Justify your reasons for each statement.(8-10 sentences)
This is a sample response to help clarify the question:
The first important import that the US should be able to live without is crude oil. The US produces a large percentage of the oil it needs and only needs roughly 25% more to meet its demand. If the US can cut its usage by that last 25% or so, we would be able to be self-sufficient and not have to rely on other countries for this import. Thirty seven percent of the energy the US consumes is from petroleum, increasing the usages of natural gas and renewable sources, not only will the US benefit but also the environment will as well.
The US should be able to live without importing automobiles. I say this because motor vehicles is one of the top imports of the US at the same time as being the number three ranked export. I like the ability for a consumer to buy what they like with the amounts of cars to choose from. However, there are so many domestic cars, ranging from economy cars to large luxury vehicles. If these are such a good export, we should be able to live with not bringing in cars from other countries and look to drive American made cars.
The two products that I think Americans should not have to live without are somewhat similar. Both are beverages, but enjoyed differently. The first is real good Columbian grown coffee, sometimes it is the best part of getting out of bed in the morning! The US imports about $6.3 billion in coffee each year, which is the highest at 19%. As we tend to be labeled as work-aholics, coffee is a big player is keeping us on the go. The second import I think Americans should not have to give up is the import of beer. Beer is made with such cultural influences, and some of the best beers around are imported. I have been to Germany twice, and I will say, their beer is unmatchable. Even with the increase in craft brewing in the US, ending the importing Canadian beers, European beers and Mexican beers is just something I do not want to ever see.
In: Operations Management
In: Computer Science
Briefly explain what each of these acronyms mean and describe the type of services each provide.
ACO:
HMO:
PPO:
EPO:
Calculate the elasticity of demand using the data shown in the table below. Use the midpoint method, and show all your work.
|
Price Per Hour of Therapy |
Demand for Therapy |
|
4 |
12 |
|
5 |
11 |
|
6 |
10 |
|
7 |
9 |
|
8 |
8 |
|
9 |
7 |
|
10 |
6 |
|
11 |
5 |
|
12 |
4 |
|
13 |
3 |
|
14 |
2 |
|
15 |
1 |
|
16 |
0 |
The Eric Challenge: Assume you have issues with your back after taking too many health economics exams. Also that you have a budget of $5,400 and you have a choice of selecting two good therapies, hot massage, at $50 per hr., and electro acupuncture, at $60 per hr. Estimate your budget constraint line and calculate your intercepts.
Consider the graph below and explain the meaning of it.
The Sara Challenge: Below is a list of my former students and their monthly compensation. As good economist, define the below of income distribution for this group. Please note, similarity of names with our current class is a simple coincidence!
|
Student |
Monthly Compensation (000’s) |
|
Erik |
$16,000 |
|
J. |
$15 |
|
Lucille |
$14 |
|
Marcie |
$13 |
|
Pam |
$12 |
|
Sara |
$11 |
|
Louis |
$10 |
|
Caren |
$9 |
|
Adriana |
$8 |
|
Carlos |
$7 |
|
K. |
$6 |
|
Dan |
$5 |
|
Isa |
$4 |
|
Lady D |
$3 |
In: Economics
| V1 | V2 | V3 | V4 | |
| V1 | 1.0 | |||
| V2 | .27 | 1.0 | ||
| V3 | -.13 | .65 | 1.0 | |
| V4 | .20 | -.15 | -.72 | 1.0 |
IN THIS EXERCISE, YOU WILL SEE A CORRELATION MATRIX. EXAMINE THE MATRIX AND ANSWER THE QUESTIONS THAT FOLLOW.
1. Which two variables have the strongest (largest) relationship?
2. Which two variables have the weakest (smallest) relationship?
3. Which two variables have the strongest positive relationship?
4. which two variables have the stronger negative relationship?
5. Which two variables have the weakest positive
relationship?
6. Which two variables have the weakest negative relationship?
7. Which variables go down when V$ goes up?
8. Which variable is most likely to increase as V3 increases?
In: Statistics and Probability
5-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) Seasonal unemployment Underemployment Unemployment benefits 6-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) Inflation Hyperinflation Deflation 7-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) Contractionary fiscal policy Discretionary fiscal policy Expansionary fiscal policy 8-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) Federal Reserve System Money market mutual fund Reserves 9-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) Balance sheet Federal funds rate Required reserves 10-Describe two of the following terms/concepts. (FOCUS ON ORIGINALITY) International Monetary Fund (IMF) Exchange rate Currency devaluation
In: Economics
Software Engineering Process Models
Question 4
(a) Give a description of the waterfall process model. In your
answer you should describe the main tasks that are conducted, and
the order in which they are carried out. You may want to include a
diagram to clarify your answer.
[7 marks]
(b) Describe one advantage and one disadvantage of adopting the
waterfall process model in comparison to other process
models.
[4 marks]
(c) Describe the key principles which underlie Agile software
development.
[8 marks]
(d) Risk management is an important part of software project
planning. Describe what is meant by a risk and give two examples of
risks which could seriously affect a project.
[4 marks]
In: Computer Science
2. [9 pts] Write the code necessary to properly allocate memory (on the heap) in the following scenarios
a). An array a of n characters
b) An array b of m+n integers
c) An x × y × z matrix m1 of integers initialized to 0s
Use C code
In: Computer Science
Write program#2 upload .java file.
2A) Write a java program that uses the Random class to generate a number in the range 21 to 64. Print the generated number.
2B) Using the Random class and nextInt(6), rolls two die generating two random numbers each in the range 1 through 6. Total by adding the two values together. Print the value of each die, and the total value.
2C) Using the Math class and sqrt(num), calculate the square root of integer twenty-two divided by integer seven, print the result formated to ten decimal places. Hint: the result of the division needs data conversion to support a double.
In: Computer Science
Skate and Cycle Co. had the following transactions for April. They charge 5% GST and 8% PST on all sales.
|
April 2 |
Sold a Nitro 325 Speed Bike to a customer for $700 cash plus applicable taxes. The original cost of the merchandise to Skate and Cycle Co. was $550. |
|
4 |
Sold two KX225 Mountain Bikes to a customer on account for $200 each plus applicable taxes. The original cost of the merchandise to Skate and Cycle Co. was $135 each. |
|
7 |
The customer from April 4th returns to the store showing that one of the bikes already has a hole in the seat. Instead of wanting to return it, the customer was satisfied to receive a $50 credit on their account. |
|
23 |
Customer came in to pay their bill in full from the April 4th transaction. |
|
30 |
Wrote cheque for PST owing from April, to Minister of Finance. |
|
30 |
Wrote cheque for GST owing from April, to Receiver General for Canada. |
Prepare journal entries to record each of the preceding transactions. Assume a perpetual inventory system. Use appropriate account names from the available chart of accounts & omit explanations.
In: Accounting
We wish to predict the salary for baseball players (yy) using the variables RBI (x1x1) and HR (x2x2), then we use a regression equation of the form ˆy=b0+b1x1+b2x2y^=b0+b1x1+b2x2.
The following is a chart of baseball players' salaries and statistics from 2016.
| Player Name | RBI's | HR's | Salary (in millions) |
|---|---|---|---|
| Miquel Cabrera | 108 | 38 | 28.050 |
| Yoenis Cespedes | 86 | 31 | 27.500 |
| Ryan Howard | 59 | 25 | 25.000 |
| Albert Pujols | 119 | 31 | 25.000 |
| Robinson Cano | 103 | 39 | 24.050 |
| Mark Teixeira | 44 | 15 | 23.125 |
| Joe Mauer | 49 | 11 | 23.000 |
| Hanley Ramirez | 111 | 30 | 22.750 |
| Justin Upton | 87 | 31 | 22.125 |
| Adrian Gonzalez | 90 | 18 | 21.857 |
| Jason Heyward | 49 | 7 | 21.667 |
| Jayson Werth | 70 | 21 | 21.571 |
| Matt Kemp | 108 | 35 | 21.500 |
| Jacoby Ellsbury | 56 | 9 | 21.143 |
| Chris Davis | 84 | 38 | 21.119 |
| Buster Posey | 80 | 14 | 20.802 |
| Shin-Soo Choo | 17 | 7 | 20.000 |
| Troy Tulowitzki | 79 | 24 | 20.000 |
| Ryan Braun | 91 | 31 | 20.000 |
| Joey Votto | 97 | 29 | 20.000 |
| Hunter Pence | 57 | 13 | 18.500 |
| Prince Fielder | 44 | 8 | 18.000 |
| Adrian Beltre | 104 | 32 | 18.000 |
| Victor Martinez | 86 | 27 | 18.000 |
| Carlos Gonzalez | 100 | 25 | 17.454 |
| Matt Holliday | 62 | 20 | 17.000 |
| Brian McCann | 58 | 20 | 17.000 |
| Mike Trout | 100 | 29 | 16.083 |
| David Ortiz | 127 | 38 | 16.000 |
| Adam Jones | 83 | 29 | 16.000 |
| Curtis Granderson | 59 | 30 | 16.000 |
| Colby Rasmus | 54 | 15 | 15.800 |
| Matt Wieters | 66 | 17 | 15.800 |
| J.D. Martinez | 68 | 22 | 6.750 |
| Brandon Crawford | 84 | 12 | 6.000 |
| Rajai Davis | 48 | 12 | 5.950 |
| Aaron Hill | 38 | 10 | 12.000 |
| Coco Crisp | 55 | 13 | 11.000 |
| Ben Zobrist | 76 | 18 | 10.500 |
| Justin Turner | 90 | 27 | 5.100 |
| Denard Span | 53 | 11 | 5.000 |
| Chris Iannetta | 24 | 7 | 4.550 |
| Leonys Martin | 47 | 15 | 4.150 |
| Justin Smoak | 34 | 14 | 3.900 |
| Jorge Soler | 31 | 12 | 3.667 |
| Evan Gattis | 72 | 32 | 3.300 |
| Logan Forsythe | 52 | 20 | 2.750 |
| Jean Segura | 64 | 20 | 2.600 |
a) Use software to find the multiple linear regression equation.
Enter the coefficients rounded to 4 decimal places.
ˆy=y^= + x1x1
+ x2x2
b) Use the multiple linear regression equation to predict the
salary for a baseball player with an RBI of 49 and HR of 22. Round
your answer to 1 decimal place, do not convert numbers to
dollars.
millions of dollars
c) Holding all other variables constant, what is the correct interpretation of the coefficient b1=0.111b1=0.111 in the multiple linear regression equation?
d) Holding all other variables constant, what is the correct interpretation of the coefficient b2=0.0371b2=0.0371 in the multiple linear regression equation?
In: Statistics and Probability