The maximum discount value of the Entertainment® card for the "Fine Dining" section for various pages is given in the table below.

Let page number be the independent variable and maximum value be the dependent variable.

a) Calculate the least-squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.)

ŷ = (?)  + (?) x

b) Find the correlation coefficient. (Round your answer to four decimal places.)

r =
Is it significant? (Use a significance level of 0.05.)

Yes

No  

c) Find the estimated maximum values for the restaurants on page ten and on page 70. (Round your answers to the nearest cent.)

d) Does it appear that the restaurants giving the maximum value are placed in the beginning of the "Fine Dining" section? How did you arrive at your answer?

Yes, there is a significant linear correlation so it appears there is a relationship between the page and the amount of the discount.

No, there is not a significant linear correlation so it appears there is no relationship between the page and the amount of the discount.    

e) Suppose that there were 200 pages of restaurants. What do you estimate to be the maximum value for a restaurant listed on page 200? (Round your answer to the nearest cent.) (?)

f) Is the least squares line valid for page 200? Why or why not?

Yes, the line produced a valid response for the maximum value.

No, using the regression equation to predict the maximum value for page 200 is extrapolation.  

g) What is the slope of the least-squares (best-fit) line? (Round your answer to three decimal places.)
(?) Interpret the slope.

As the page number increases by one page, the discount decreases by how much?

The maximum discount value of the Entertainment® card for the "Fine Dining" section for various pages is given in the table below.

Let page number be the independent variable and maximum value be the dependent variable.

a) Calculate the least-squares line. Put the equation in the form of: ŷ = a + bx. (Round your answers to three decimal places.)

ŷ = (?)  + (?) x

b) Find the correlation coefficient. (Round your answer to four decimal places.)

r =
Is it significant? (Use a significance level of 0.05.)

Yes

No  

c) Find the estimated maximum values for the restaurants on page ten and on page 70. (Round your answers to the nearest cent.)

d) Does it appear that the restaurants giving the maximum value are placed in the beginning of the "Fine Dining" section? How did you arrive at your answer?

Yes, there is a significant linear correlation so it appears there is a relationship between the page and the amount of the discount.

No, there is not a significant linear correlation so it appears there is no relationship between the page and the amount of the discount.    

e) Suppose that there were 200 pages of restaurants. What do you estimate to be the maximum value for a restaurant listed on page 200? (Round your answer to the nearest cent.) (?)

f) Is the least squares line valid for page 200? Why or why not?

Yes, the line produced a valid response for the maximum value.

No, using the regression equation to predict the maximum value for page 200 is extrapolation.  

g) What is the slope of the least-squares (best-fit) line? (Round your answer to three decimal places.)
(?) Interpret the slope.

As the page number increases by one page, the discount decreases by how much?

1. Greenwood ltd was listed at the Utopian stock exchange market ten years ago. The following table presents ten years of return data for the stock of Greenwood ltd and for the market index.

Required

1. Plot the returns of Greenwood ltd and the market index on a graph, with the market index’s returns on the horizontal axis
2. Derive the line of best fit
3. Estimate the beta factor of Greenwood ltd stock and comment on your result
4. Compute the coefficient of correlation between the returns the stock of Greenwood ltd and for the market index. Comment on your answer
5. State and explain factors affecting the return of stocks in your home country’s exchange market
6. Explain how an investor can construct a well diversified stock portfolio at your home country’s exchange market
7. Outline the main differences between active and passive stock portfolio management strategies.

2. Explain how foreign portfolio flows affect stock market performance in Kenya (Use a case study of Nairobi securities exchange)

Taxes (LO 5.7)

Laura is a single taxpayer living in New Jersey with adjusted gross income for the 2018 tax year of $35,550. Laura's employer withheld $3,300 in state income tax from her salary. In April of 2018, she pays $600 in additional state taxes for her prior year's tax return. The real estate taxes on her home are $1,750 for 2018, and her personal property taxes, based on the value of the property, amount to $375. Also, she paid $75 for state gasoline taxes for the year.

Complete the taxes section of Schedule A below to report Laura's 2018 deduction for taxes assuming she chooses to deduct state and local income taxes.

If an amount is zero, enter "0". Enter all amounts as positive numbers.

***IN JAVA***

Write a program contained a class Student which has firstName, lastName, mark, grade. The program should allow creation an array of object instances to assign firstName, lastName and mark from input user and perform and assign grade based on mark’s criteria displayed below.

SAMPLE OF OUTPUT:

Enter section #: 1

How many students: 3

Enter student details:

First Name: John

Last Name: Kendall

Marks      : 96

Enter student details:

First Name: Mary

Last Name: Kendall

Marks      : 76

Enter student details:

First Name: Lucy

Last Name: Kendall

Marks      : 76

Result for Section 1

-------------------------------------------------------------------

FirstName               Last Name         Grade

John                    Kendall           A+

Mary                    Kendall           C+

Lucy                    Kendall           C+

Total students: 3

Average marks: 82.2     Average Grade: B

Highest: 96, by John Kendall

Location: 0

Another batch? (Yes – 1, No - 0) :> 1

Enter section #: 2

How many students: 6

Enter student details:

1)

First Name: John

Last Name: Kendall

Marks      : 96

2)

First Name: Mary

Last Name: Kendall

Marks      : 76

3)

First Name: Lucy

Last Name: Kendall

Marks      : 76

4)

First Name: Martin

Last Name: Kendall

Marks      : 86

5)

First Name: Mary

Last Name: Kendall

Marks      : 76

6)

First Name: Lucy

Last Name: Kendall

Marks      : 98

Result for Section 2

-------------------------------------------------------------------

FirstName               Last Name         Grade

John                    Kendall           A+

Mary                    Kendall           C+

Lucy                    Kendall           C+

Martin                  Kendall           B+

Mary                    Kendall           C+

Lucy                    Kendall           A+

Total students: 6

Average marks : 80.7    Average Grade: B

Highest: 98, by Lucy Kendall

Location: 6

Another batch? (Yes – 1, No - 0) :> 0

PROBLEM SOLVING TIPS:

Consider the work-energy theorem relating work done on an object and its change in kinetic energy. What is the formula? Explain in your own words what this formula gives you. Create an example. Include a graphical or picture representation that illustrates what all the variables are. Then exemplify the use of the formula with a simple problem of your own creation. The problem should be stated in words first. Every variable should have a well defined value with appropriate units. Finally, solve your problem.
( please show image and explain clearly)

Please use reference.

In Gasoline. How to make Gasoline cheaper in the United States: Government is known to utilize a product's elasticity measures to set taxes and subsidies. Use this information to set policy on petroleum products according to your goal. Research the government's tax/subsidy policy in these areas and any objectives of the tax policy. State your goal, your prescribed action, and why you believe it will work using the information you found.

A survey of 24 randomly sampled judges employed by the state of Florida found that they earned an average wage (including benefits) of $57.00 per hour. The sample standard deviation was $6.02 per hour. (Use t Distribution Table.)

1. What is the best estimate of the population mean?

2. Develop a 98% confidence interval for the population mean wage (including benefits) for these employees. (Round your answers to 2 decimal places.)

Please answer the following question IN YOUROWN WORDS not copy from internet 350 word count please provide all references cited from internet in your question. You work at a small community-based hospital as a manager in the quality assurance department. One function of your job is to analyze internal data such as medical records, patient surveys, and incident reports to track trends and help improve patient care delivery. Your supervisor just came back from a seminar on quality benchmarking and has asked about your thoughts on analyzing secondary data from the health care industry as a way to benchmark and measure the organization's quality performance against its peers. You have been asked to prepare a report on the use of both secondary data and internal data as way to improve quality in your organization. Complete the following:

Explain how health care organizations use secondary data as a comparison to internal data.

Consider the following data for a dependent variable y and two independent variables, x₁ and x₂.

The estimated regression equation for these data is ŷ = −17.02 + 1.99x₁ + 4.70x₂.

Here, SST = 14,902.9, SSR = 13,773.1, s_b1 = 0.2470, and s_b2 = 0.9480.

(1a) Test for a significant relationship among x₁, x₂, and y. Use α = 0.05. State the null and alternative hypotheses.

(1b)Find the value of the test statistic. (Round your answer to two decimal places.)

(1c)Find the p-value. (Round your answer to three decimal places.)

(1d) State your conclusion.

Do not reject H₀. There is sufficient evidence to conclude that there is a significant relationship among the variables.

Reject H₀. There is insufficient evidence to conclude that there is a significant relationship among the variables.  

Do not reject H₀. There is insufficient evidence to conclude that there is a significant relationship among the variables.

Reject H₀. There is sufficient evidence to conclude that there is a significant relationship among the variables.

(2a) Is β₁ significant? Use α = 0.05. State the null and alternative hypotheses.

(2b)Find the value of the test statistic. (Round your answer to two decimal places.)

(2c)Find the p-value. (Round your answer to three decimal places.)

(2d) State your conclusion.

Reject H₀. There is sufficient evidence to conclude that β₁ is significant.

Do not reject H₀. There is sufficient evidence to conclude that β₁ is significant.   

Reject H₀. There is insufficient evidence to conclude that β₁ is significant.

Do not reject H₀. There is insufficient evidence to conclude that β₁ is significant.

(3a) Is β₂ significant? Use α = 0.05. State the null and alternative hypotheses.

(3b)Find the value of the test statistic. (Round your answer to two decimal places.)

(3c)Find the p-value. (Round your answer to three decimal places.)

(3d) State your conclusion.

Do not reject H₀. There is sufficient evidence to conclude that β₂ is significant.

Reject H₀. There is insufficient evidence to conclude that β₂ is significant.

Reject H₀. There is sufficient evidence to conclude that β₂ is significant.

Do not reject H₀. There is insufficient evidence to conclude that β₂ is significant.