What is the percentage of sales approach? How do you adjust the model when operating at less than full capacity?

Using the following to create a vertical analysis, what percentage would be reported for Property, Plant & Equipment?

2015 2014

Common Stock $ 300,000 $220,000

Current Assets $ 100,000 $110000

Current Liabilities $ 50,000 $90,000

Intangible Assets $ 120,000 $130,000

Investments $ 200,000 $200,000

Long-term Liabilities $ 250,000 $275,000

Other Assets $ 80,000 $75,000

Property, Plant & Equipment $ 300,000 $250,000

Retained Earnings $ 200,000 $ 180,000

You collect the following information on a sample of 100 adults:

• Y=LOTTERY= percentage of income the person spends on lottery tickets (in %)
• EDUC= amount of education the individual has (in years)
• AGE = age of the individual (in years),
• CHILDREN = number of children the person has (in number of children)
• INC1000= annual income of the individual (in 1,000s of dollars)

The data set can be found in Mod9-1Data. Run the multiple regression in Minitab. Assume a level of significance of 5%.

null hypothesis for the test on the slope/coefficient on AGE-

alternative hypothesis=

computed test statistic=

table test statistic=

p-value=

statistical conclusion=

Predicted percentage of income spent of lottery tickets for a person with 12 years of education; 20 years old; 0 children; and an income of $25,000.=

null hypothesis for valid regression test=

alternative hypothesis for valid regression=

computed test statistic for the useful regression test=

table test statistic for the valid regression test=

p-value for the valid regression test=

statistical conclusion for the valid regression test=

Let x be a random variable representing percentage change in neighborhood population in the past few years, and let y be a random variable representing crime rate (crimes per 1000 population). A random sample of six Denver neighborhoods gave the following information.

In this setting we have Σx = 69, Σy = 594, Σx² = 1175, Σy² = 74,320, and Σxy = 9134.

(a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to four decimal places.)

Find the sample correlation coefficient r and the coefficient of determination. (Round your answers to three decimal places.)

What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.)
%

(d) Test the claim that the population correlation coefficient ρ is not zero at the 1% level of significance. (Round your test statistic to three decimal places.)

t =

Find or estimate the P-value of the test statistic.

P-value > 0.2500.125 < P-value < 0.250    0.100 < P-value < 0.1250.075 < P-value < 0.1000.050 < P-value < 0.0750.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.0100.0005 < P-value < 0.005

For a neighborhood with x = 19% change in population in the past few years, predict the change in the crime rate (per 1000 residents). (Round your answer to one decimal place.)
crimes per 1000 residents

(f) Find S_e. (Round your answer to three decimal places.)
S_e =

(g) Find an 80% confidence interval for the change in crime rate when the percentage change in population is x = 19%. (Round your answers to one decimal place.)

(h) Test the claim that the slope β of the population least-squares line is not zero at the 1% level of significance. (Round your test statistic to three decimal places.)

t =

Find or estimate the P-value of the test statistic.

P-value > 0.2500.125 < P-value < 0.250    0.100 < P-value < 0.1250.075 < P-value < 0.1000.050 < P-value < 0.0750.025 < P-value < 0.0500.010 < P-value < 0.0250.005 < P-value < 0.0100.0005 < P-value < 0.005

Find an 80% confidence interval for β and interpret its meaning. (Round your answers to three decimal places.)

Assume that the helium porosity (in percentage) of coal samples taken from any particular seam is normally distributed with true standard deviation 0.71.

(a) Compute a 95% CI for the true average porosity of a certain seam if the average porosity for 25 specimens from the seam was 4.85. (Round your answers to two decimal places.) ,

(b) Compute a 98% CI for true average porosity of another seam based on 14 specimens with a sample average porosity of 4.56. (Round your answers to two decimal places.) ,

(c) How large a sample size is necessary if the width of the 95% interval is to be 0.48? (Round your answer up to the nearest whole number.) specimens

(d) What sample size is necessary to estimate true average porosity to within 0.25 with 99% confidence? (Round your answer up to the nearest whole number.) specimens

1. What have been the percentage change in the value of Bitcoin expressed in U.S. dollars over the last 30 days? What has been the one-year change and three-year change in the value of Bitcoin? Do you detect a trend?
2. Is Bitcoin money? Does Bitcoin fulfill the functions of money? If you conclude that Bitcoin is not money what is it? Explain.

The U.S. Census Bureau conducts annual surveys to obtain information on the percentage of the voting-age population that is registered to vote. Suppose that 380 employed persons and 487 unemployed persons are independently and randomly selected, and that 221 of the employed persons and 211 of the unemployed persons have registered to vote. Can we conclude that the percentage of employed workers ( p1 ), who have registered to vote, exceeds the percentage of unemployed workers ( p2 ), who have registered to vote? Use a significance level of α=0.05 for the test.

Step 2: Compute the value of the test statistic. Round your answer to two decimal places.

Step 3: Determine the decision rule for rejecting the null hypothesis H0. Round the numerical portion of your answer to three decimal places.

Step 4: Reject or fail to reject the hypothesis?

Step 5 of 5: Make the decision for the hypothesis test.

Assume that the helium porosity (in percentage) of coal samples taken from any particular seam is normally distributed with true standard deviation 0.74.

(a) Compute a 95% CI for the true average porosity of a certain seam if the average porosity for 23 specimens from the seam was 4.85. (Round your answers to two decimal places.

(b) Compute a 98% CI for true average porosity of another seam based on 13 specimens with a sample average porosity of 4.56. (Round your answers to two decimal places.

(c) How large a sample size is necessary if the width of the 95% interval is to be 0.41? (Round your answer up to the nearest whole number.)
____________specimens

(d) What sample size is necessary to estimate true average porosity to within 0.21 with 99% confidence? (Round your answer up to the nearest whole number.)
____________specimens

1.Explain why two (2) countries with similar budget deficits as percentage of their GDP but with very different debt servicing records may face (a) different, or (b) the same consequences/ outcomes with regard to illiquidity or even solvency when they are facing capital markets.

2.Explain why countries find it more costly to maintain a fixed exchange when a devaluation is expected compared to a situation when a devaluation is not expected.

3.Explain why it was felt important to make the ‘no bail-out’ clause part the ‘Maastricht Treaty’.

4.In a fixed exchange rate system, a devaluation (a) has a cost, or (b) does not have costs for a country. Explain why you think that (a) or (b) is the correct answer.

5.Explain (a) why and (b) how financial markets exerted different degrees of pressure on countries to engage in austerity programs.

6.Explain why you believe that the departure of a current EMU member country (Greece, for example) would (a) strengthen, or (b) weaken the survivability of the EMU.
.

Percentage of scores falling below a z of -.24

Student provided the following answer: 9.48% of scores fall below a z-score of -.24

Is the students answer correct?  If not, what did they do wrong and what is the correct answer?