A sample of 20 Automobiles was taken and the miles per gallon (MPG), horsepower (HP), and total weight were recorded. Develop a linear regression model to predict MPG…

1)Using HP as the independent variable. What is the regression equation?

2) Is your model a good predicting equation? How do you know?

3) Using Total Weight as the independent variable, what is the regression equation?

4)Is this a good predicting model? How do you know?

5) Using MPG and Total weight as independent variables, what is the regression equation?

6) Is the model in part e a good predicting equation? How do you know?   

7)  Predict MPG using the model in part e with HP = 100 and weight = 3 thousand pounds.

We operate a bottle filling factory. One of our machines fills a 32-ounce bottle with a target of 32.08 ounces of orange juice. Every 10 minutes or so we obtain a sample filled bottle and hold it for the quality control department who will weigh the approximately 50 such bottles to determine if the machine is performing correctly. If the average of the 50 bottles is less than 32 ounces, the machine is shut down and the entire production from that 8-hour shift is held until further tests are performed.

1. We know that over the years this machine delivers 32.082 ounce of orange juice with a standard deviation 0.01 ounces. What is the probability that a sample of 50 bottles has a mean volume of less than 32 ounces?

2. There are 1,008 8-hour shifts per year (allowing for holidays, maintenance and a two-week scheduled shutdown). In a typical year, hour many times do we expect the quality department to shut down the machine and hold that shift’s production?

We operate a bottle filling factory. One of our machines fills a 32-ounce bottle with a target of 32.08 ounces of orange juice. Every 10 minutes or so we obtain a sample filled bottle and hold it for the quality control department who will weigh the approximately 50 such bottles to determine if the machine is performing correctly. If the average of the 50 bottles is less than 32 ounces, the machine is shut down and the entire production from that 8-hour shift is held until further tests are performed.

1. We know that over the years this machine delivers 32.082 ounce of orange juice with a standard deviation 0.01 ounces. What is the probability that a sample of 50 bottles has a mean volume of less than 32 ounces?

1. There are 1,008 8-hour shifts per year (allowing for holidays, maintenance and a two-week scheduled shutdown). In a typical year, hour many times do we expect the quality department to shut down the machine and hold that shift’s production?

Johnson Industries finances its projects with 40 percent debt, 10 percent preferred stock, and 50 percent common stock.

What is the company's weighted average cost of capital (WACC)? Express your answer in percentage (without the % sign) and round it to two decimal places.

USE THE INFORMATION BELOW TO ANSWER THE FOLLOWING 4 QUESTIONS

Erma’s Beauty Supply is considering expanding the existing store. Erma wants to lease the office space next door to her business. Erma must spend, $120,000 on equipment to expand. The equipment is expected to have a zero-salvage value and will be retired in 8 years. Erma expects to increase networking capital by $8,000 right now if she goes through with the expansion. Erma spent $12,000 last month on a survey of the area surrounding the shop to see if there was sufficient demand for a larger store. Erma estimates she will increase revenues by $110,000 per year in the new store for eight years. The direct expenses incurred to make those sales are $78,000, including rent. The lease she is considering signing is for 8 years. She will liquidate the $8,000 networking capital when the lease is complete in 8 years. Erma’s Beauty Supply pays 40.0% in taxes and has a cost of capital of 9.0%.

38. How much does Erma need to expand her business at T=0?

39. Based on this information, the project’s operating cash flow in each of the first seven years is $_______?

40. Based on this information, the project’s terminal year (year 8) total cash flow is $_______?

41. What is Erma’s NPV if she decides to expand the business?

Which one is the correct characteristics of t distribution with 10 degrees of freedom? Choose all applied.

If weight of products ~ N(120LB,  30LB) then what is chance that

weight of product is larger than 130 LB?

Provide an answer with 3 decimal points

For  t with 50 degrees of freedom, what is the 99th percentile of value of t ?

Provide an answer with 3 decimal points

For  t with 50 degrees of freedom, what is the chance that

t has a value larger than 1.2?

Provide an answer with 3 decimal points

f weight of products ~ N(120LB,  30LB) then what is the 95th percentile of

the weight of product?

Provide an answer with 2 decimal points

For  t with 50 degrees of freedom, what is the chance that

t has a value between -1.5 and -0.5?

Provide an answer with 3 decimal points

If the weight of products ~ N(120LB,  30LB) then what is chance that

the weight of product is between 120LB and 125LB? (3 decimal places)

What is the mean of Z distribution? (0 decimal places)

1) Please list the types of risks a firm may encounter. 2) Define BETA coefficient (in finance - CAPM) and explain what exactly it shows. 3) What is standard deviation, in general? What does it show? 4) How do I understand if Stock A is riskier than Stock B? 5) How do I understand if Bond A is riskier than Bond B? 6) What is “upside” and “downside” in finance? 7) If you need to match “Bondholders” and “Stockholders” with “upside” and “downside” how would you do this? (it does not have to be one-for-one) 8) Is market [systematic or undiversifiable] risk the same for all firms in the same market? 9) Are firm-specific [unsystematic or idiosyncratic] risks across the firms correlated? Briefly explain. 10) How could you relate the market interest rate changes with bond and stock prices?

Notes Receivable Discounting

Marienau Suppliers had the following transactions:

Required:

Record the transactions in a general journal. Assume 360 days in a year.

Case Study num22

please answer 1-5

Diabetes Mellitus

Diabetes mellitus is a common chronic disease, and every health professional will need to understand how it works and identify common emergency situations related to it. But an equally important part of the health professional's role is patient education and explaining what happens in the disease process. After they go home, diabetes patients will have to manage this complex disease every day.

You are working in the free clinic when Father X comes in. You know him well; he is a type 2 diabetic who keeps his sugar under control with diet and exercise but is often in the clinic with homeless patients from the shelter he runs in the Episcopalian church down the block.  

1. Insulin and glucagon release from the pancreas is a vital part of the negative feedback loop that regulates blood glucose levels. Write out this feedback loop and predict how insulin levels will respond to blood glucose. When will insulin levels be highest during the day? When will they be the lowest?

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On this visit, Father X has brought in a thin man in his twenties named Joe. Joe appears confused and lethargic. He is breathing heavily and has a strong fruity odor. Father X tells you he is concerned about Joe because last night Joe was up every half-hour or so to use the bathroom and get water. Father X knows these are signs of diabetes, so he wants to get Joe checked out. He also tells you that Joe has not been drinking; they have a breathalyzer at the shelter, and Joe tested clean when he checked in the night before.

Joe's blood pressure is a little low at 95/60 mm Hg and his heart rate is a little high at 96 bpm. When you take his pulse, you notice that his skin is dry and “tents” up when pinched--a sign of dehydration. His respirations are more rapid than normal, 25 breaths/min., and heavy. His blood glucose is elevated at 320 mg/dL. His urine also contains glucose, and has a lower pH than normal. When you take his history he tells you that type 1 diabetes runs in his family.  

2. Normally, urine does not contain glucose. When blood glucose levels are elevated, however, some of the glucose is lost in the urine. Apply the principle of osmosis to explain why Joe was getting up all night to use the bathroom, and why he has low blood pressure and signs of dehydration.

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3. In type 1 diabetes, the cells in the pancreas which produce insulin are destroyed. Which cells are these? The cells which produce glucagon, however, are not affected. Which cells are these? What will glucagon cause Joe's cells to do?

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4. People with type 1 diabetes commonly have high blood sugar levels but lose weight. Based on the effects insulin and glucagon have on cells, explain this. What compounds do you expect the cells to release into Joe's blood?

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5. The odor on Joe’s breath is from ketones. Why would a man with type 1 diabetes develop high blood ketone levels?

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QUESTION 1

1. The Holland Theme “Realistic” is a match for Campbell’s Work Orientation called:      

   		Analyzing
   		Creating
   		Producing
   		Helping

0.4 points   

QUESTION 2

1. The Holland Theme “Investigative” is a match for Campbell’s Work Orientation called:

   		Organizing
   		Analyzing
   		Helping
   		Creating

0.4 points   

QUESTION 3

1. The Holland Theme “Artistic” is a match for Campbell’s Work Orientation called:

   		Creating
   		Analyzing
   		Adventuring
   		Helping

0.4 points   

QUESTION 4

1. The Holland Theme “Social” is a match for Campbell’s Work Orientation called:

   		Influencing
   		Helping
   		Organizing
   		Producing

0.4 points   

QUESTION 5

1. The Holland Theme “Enterprising” is a match for Campbell’s Work Orientation called:

   		Helping
   		Creating
   		Influencing
   		Drawing

0.4 points   

QUESTION 6

1. The Holland Theme “Conventional” is a match for Campbell’s Work Orientation called:

   		Organizing
   		Helping
   		Adventuring
   		Creating

0.4 points   

QUESTION 7

1. The Myers-Briggs Type Indicator dimensions for “Source of Energy” is:                 

   		SENSER/INTUITER
   		THINKER/FEELER
   		EXTROVERT/INTROVERT
   		JUDGER/PERCEIVER

0.8 points   

QUESTION 8

1. Myers-Briggs Type Indicator dimensions for   “Process Information” is:

   		SENSER/INTUITER
   		THINKER/FEELER
   		EXTROVERT/INTROVERT
   		JUDGER/PERCEIVER

0.8 points   

QUESTION 9

1. Myers-Briggs Type Indicator for   “Decision Making”  is:

   		SENSER/INTUITER
   		THINKER/FEELER
   		EXTROVERT/INTROVERT
   		JUDGER/PERCEIVER

0.8 points   

QUESTION 10

1. Myers-Briggs Type Indicator for “How You Live Life” is:

   		SENSER/INTUITER
   		THINKER/FEELER
   		EXTROVERT/INTROVERT
   		JUDGER/PERCEIVER