Write at least two large paragraphs to describe your critical thoughts and reflections about watching the Movie The Race to Rebuild America’s Infrastructure. Specifically, what do you think about the issue of an aging and deteriorating American public infrastructure system? What are the possible consequences of an aging and deteriorating American public infrastructure system? How do we take action to address this issue?

In much of Asia and Latin America, companies that are parts of family groups comprise a large percentage of publicly traded companies. From a corporate governance standpoint, which of the following would concern you the most at these companies?

• A. They will make decisions that are in the best interests of the family group, rather than in the best interests of the company
• B. They will pay out too much in dividends.
• C. They will make decisions that are in the best interests of the company, rather than in the best interests of the family group.
• D. They will be too aggressive, in seeking out growth and investments.
• E. They will not borrow enough money to fund operations.

Bikes LLC is a company that manufactures and sells motorcycles in North America. It has the following demand function for its motorcycles: P = 30,000 – 100Q Bikes LLC has a marginal cost (MC) that is constant and equal to $4,000. What will Bikes LLC’s price be if it decides to sell the motorcycles by itself? What will the price be if it sells them though MC Dealership, LLC an independent distributor? Consider that when Bikes LLC contracts with MC Dealership, LLC, it takes into account that MC Dealership, LLC faces the same demand curve. Assume that (MC) is constant and equal to $4,000. What is the impact of distributing the motorcycles through MC Dealership, LLC on the price of the motorcycles? Be sure to explain and interpret your calculations.

Motorcycles USA is a company that manufactures and sells motorcycles in North America. It has the following demand function for its motorcycles:

P = 30,000 – 100Q

Motorcycles USA has a marginal cost (MC) that is constant and equal to $4,000.

What will Motorcycles USA’s price be if it decides to sell the motorcycles by itself? What will the price be if it sells them though MC Dealership, LLC an independent distributor? (10 points)

Consider that when Motorcycles USA contracts with MC Dealership, LLC, it takes into account that MC Dealership, LLC faces the same demand curve. Assume that (MC) is constant and equal to $4,000.

What is the impact of distributing the motorcycles through MC Dealership, LLC on the price of the motorcycles? (10 points)

Be sure to explain your calculations

Q2). The height (sidewalk to roof) of notable tall buildings in America is compared to the number of stories of the building (beginning at street level).

Part (a) Using "stories" as the independent variable and "height" as the dependent variable, make a scatter plot of the data

Part (b) Does it appear from inspection that there is a relationship between the variables?

Yes

No     

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

? = +   x

Part (d) Find the correlation coefficient r. (Round your answer to four decimal places.)

r =  

Is it significant?

Yes

No     

Part (e) Find the estimated height for 31 stories. (Use your equation from part (c). Round your answer to one decimal place.)

( ) ft

Find the estimated height for 98 stories. (Use your equation from part (c). Round your answer to one decimal place.)
( ) ft

Part (f) Use the two points in part (e) to plot the least squares line. (Upload your file below.)

Part (g) Based on the above data, is there a linear relationship between the number of stories in tall buildings and the height of the buildings?

Yes

No     

Part (h) Are there any outliers in the above data? If so, which point(s)?

No, there are no outliers.

Yes, (56, 1050) and (22, 401) are outliers.     

Yes, (22, 401) is an outlier.

Yes, (56, 1050) is an outlier.

Part (i) What is the estimated height of a building with 9 stories? (Use your equation from part (c). Round your answer to one decimal place.

( ) ft

Does the least squares line give an accurate estimate of height? Explain why or why not.

The estimate for the height of a nine-story building does not make sense in this situation.

The least squares regression line does not give an accurate estimate because the estimated height of a building with nine stories is not within the range of y-values in the data.     

The least squares regression line does not give an accurate estimate because a nine-story building is not within the range of x-values in the data.

The least squares regression line does give an accurate estimate because none of the buildings surveyed had nine stories.

Part (j) Based on the least squares line, adding an extra story adds about how many feet to a building? (Round your answer to three decimal places.)

( ) ft

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

Interpret the slope.

As the -Select- ( number of stories or height) of the building increases by one unit, the  -Select- (number of stories or height) of the building increases by -Select- (stories or feet) .

Young men in North America and Europe, but not in Asia, tend to think they need more muscle to be attractive. One study presented 200200 young American men with 100100 images of men with various levels of muscle. Researchers measure level of muscle in kilograms per square meter (kg/m2kg/m2) of fat‑free body mass. Typical young men have about 20 kg/m2.20 kg/m2. Each subject chose two images, one that represented his own level of body muscle and one that he thought represented what women prefer.

The mean gap between self‑image and what women prefer was 2.35 kg/m2.2.35 kg/m2.

Suppose that the muscle gap in the population of all young men has a normal distribution with standard deviation 2.5 kg/m2.2.5 kg/m2. If young men thought that their own level of muscle was about what women prefer, the mean muscle gap in the study would be 0.0. We suspect (before seeing the data) that young men think women prefer more muscle than they themselves have.

(a) Select the correct null and alternative hypotheses for testing this suspicion.

?0:?=0H0:μ=0 vs. ??:?≠0Ha:μ≠0

?0:?=0H0:μ=0 vs. ??:?<0Ha:μ<0

?0:?=0H0:μ=0 vs. ??:?>0Ha:μ>0

?0:?=2.35H0:μ=2.35 vs. ??:?>2.35Ha:μ>2.35

(b) What is the value of the test statistic ??z? (Enter your answer rounded to two decimal places.)

?=z=

(c) You can tell just from the value of ?z that the evidence in favor of the alternative is very strong. That is, the ?P‑value is very small. Select the statement that correctly explains why this is true.

Because large values of the statistic show that the data is not consistent with the null hypothesis.

Because large values of the statistic show that the observed result would be likely to occur if the alternative hypothesis were true.

Because large values of the statistic show that the observed result would be unlikely to occur if the null hypothesis were true.

Because large values of the statistic show that the data is consistent with the null hypothesis.

Taxation in America is always a "hot topic." In designing a taxation system

a. what are the basic principles to be considered?

b. how is the burden of a tax calculated?

c. list the three basic tax burdens (Hint: one of them is "progressive.") and list examples of each.

d. if the government creates a tax on wealth that taxes the first $50,000 of assets a person owns at 1%, the next $50,000 at 2%, the third at 3% and so on, what type of tax burden is that? How much tax would you owe if you had $125,000 in assets (car, personal property and small home)?