In one of Boston’s public parks, mugging in summer months has been a serious issue. A police cadet took a random sample of 10 days and compiled the data. For each day, x represents the number of police officers on duty in the park and y represents the number of reported muggings on that day. A scatter plot has been provided in the following.

1. (a) What information can we learn from the above scatter plot?

2. (b) One wishes to use the linear model for this question. Please specify the theoretical linear model and the common assumptions.

3. (c) Based on the following SAS output, please write out the regression line.

1. (d) Can you predict y value when x = 30? Why or why not?

2. (e) Please construct a 95% confidence interval for the slope.

3. (f) Overall is this model useful? (Please set up hypotheses and report the result from SAS output).

4. (g) Find the sample correlation coefficient.

Provide an evaluation of two proposed projects, both with 5-year expected lives and identical initial outlays of $110,000. Both of thj4ese projects involve additions to Liburdi’s high highly successful hotel product line, and as a result, the required rate of return on both projects has been established at 12 percent. The expected free cash flows from each project are as follows:

In evaluating these projects, please respond to the following questions:

1. What are the criticisms of the payback period?
2. Describe in your own words the logic behind the NPV?
3. Would you expect the NPV and PI methods to give consistent accept/reject decisions? Why or Why not?

1. The city collects $1 million of taxes for an independent fire district located within the city.

2. The city spends $1.2 million on street maintenance using the proceeds of a city gas tax dedicated for road and highway maintenance and improvements.

3. The city receives a bequest of $1.5 million. The donor’s will, requires that the principal amount be invested in perpetuity and that the earnings on the investment be used to maintain a city park to be renamed for the donor.

4. The city collects water and sewer fees of $4.2 million.

5. The city pays $4 million to a contractor for work on a new bridge.

6. _The city receives $1.3 million to invest on behalf of the county.

1. The city pays its police officers wages of $325,000.

1. The city pays $2.2 million in bond interest on its general obligation debt.

I want the journal entry for each of the transaction above thank you

1. Describe and state the assumptions and disadvantages of the mark-recapture technique used to quantify population size and density.

2. What are the causes of habitat fragmentation?

3. What factors impact the diversity and density of life-forms in fragmented habit patches?

4. Define each of the 4 different types of meta-populations.

5. Shooting the grey wolves was advocated in the 1930s as a way of increasing the numbers of Dall mountain sheeps in Denali National Park, Alaska. Explain the ecological data that lead to stopping the indiscriminate killing of the grey wolves in the 1950s.

6. In the construction of life tables, vital statistics of a population of life-forms is studied. What art the vital statistics analyzed in order to determine the health status of living populations of animals in nature?

7. Environmentally our earth has changed, is changing and not necessarily for the better. What anthropogenic activities have been involved in bring about global change?

How do demand and supply change, and thus what are the impacts on price and quantity, due to the following changes:

1. Higher household income

2. Swiss residents become “greener“

3. Firms want to strongly position their newly-launched models

4. Plastic becomes more expensive

5. Oil becomes more expensive

6. Hotel prices in ski resorts become higher

7. Guest workers are no longer allowed in the country

8. New ski resorts open up

9. The lifts themselves become faster and less expensive to purchase and operate

10.Higher availability of inexpensive, high quality printers for private use 1

1. Higher availability of notebooks and PCs with high-quality graphics

12. Higher availability of e-mail and social media

13. Rising productivity and falling prices for inputs in the production of digital cameras

14. Higher availability of handy, and then smart phones, with digital cameras

When it comes to interpreting the location quotient the primary question the analyst needs to ask

a.How does the local economy's location quotient compare to that of the US as a whole

b. is the location quotient greater than or less than 100

c. is the location quotient positive or negative

e.Is the location quotient greater than or less than 1

Which one of the following is NOT one of the requirements for a use to be a site's highest and best use?

a. the use must be financially feasible

b. the use must be legally permissible

c. the use must be physically possible

d. the use must be socially optimal

d. Is the location quotient greater than or less than 1?

Which one of the following properties would most likely have to rely primarily on the sales comparision approach for an estimate of its market value?

a. an aaprtment building

b.a ball park

c. a single family home

d. a shopping center

Here’s what happened at ACME Manufacturing Company*:

ACME makes shock absorbers for the Mercedes manufacturing facility and for a few other customers. Two days before the auditors arrived to count ending inventory, the plant manager told the warehouse employees to load four tractor trailers with shock absorbers, lock them and park the trailers on the back lot.   After giving those instructions she said: “If anyone mentions this to the auditors, I will find out who you are and fire you!”   So, no one said a word.

Other facts that you should know:

Mercedes uses Just-in-Time for its inventory system.

ACME's terms for shipping and billing are FOB shipping point, prepaid and add.

Respond to the following:

Why did the manager order employees to hide the inventory?

How does what she did affect the financial statements?

What should the plant accountant do, if anything, about this situation?

Managing Conflict" Please respond to the following:

Your bags are packed for a family vacation to Jamaica, and you leave in three days. There is no way that you can get a refund since you purchased your airfare and hotel through a special offer on a travel website. Your co-worker calls out of work for one week, saying her child has the flu and she can’t come to work because she has no one to watch her child. Your supervisor says you have to cover that co-worker's shift AGAIN for the fourth time in two months. Unfortunately, if you cover the shift you will miss your vacation, and you will lose the money you spent on it. How would you manage this job conflict, and why? Do you: Avoid your supervisor and call out sick Collaborate with your supervisor to come up with a solution Accommodate your supervisor and skip your vacation

In one of Boston’s public parks, mugging in summer months has been a serious issue. A police cadet took a random sample of 10 days and compiled the data. For each day, x represents the number of police officers on duty in the park and y represents the number of reported muggings on that day. A scatter plot has been provided in the following.

1. (a) What information can we learn from the above scatter plot?

2. (b) One wishes to use the linear model for this question. Please specify the theoretical linear model and the common assumptions.

3. (c) Based on the following SAS output, please write out the regression line.

1. (d) Can you predict y value when x = 30? Why or why not?

2. (e) Please construct a 95% confidence interval for the slope.

3. (f) Overall is this model useful? (Please set up hypotheses and report the result from SAS output).

4. (g) Find the sample correlation coefficient.

In one of Boston’s public parks, mugging in summer months has been a serious issue. A police cadet took a random sample of 10 days and compiled the data. For each day, x represents the number of police officers on duty in the park and y represents the number of reported muggings on that day. A scatter plot has been provided in the following.

1. (a) What information can we learn from the above scatter plot?

2. (b) One wishes to use the linear model for this question. Please specify the theoretical linear model and the common assumptions.

3. (c) Based on the following SAS output, please write out the regression line.

1. (d) Can you predict y value when x = 30? Why or why not?

2. (e) Please construct a 95% confidence interval for the slope.

3. (f) Overall is this model useful? (Please set up hypotheses and report the result from SAS output).

4. (g) Find the sample correlation coefficient.