Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The equation from a multiple regression is (V02) = 0.017*(age) - 0.028*(HR) + 0.017*(time) + 3.483. If a person is 29 years old, blood pressure of 130 bpm, and a walking time of 13 minutes, what is his/her expected maximum oxygen uptake?

part A options:

Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, and the percentage of body fat of an athlete. The researcher calculates the regression equation as (weight) = 3.979*(height) + 0.85*(percent body fat) - 87.814. If a female athlete is 67 inches tall and has a 20 percentage of body fat, what is her expected weigh

Part B options:

A trucking company considered a multiple regression model for relating the dependent variable of total daily travel time for one of its drivers (hours) to the predictors distance traveled (miles) and the number of deliveries of made. After taking a random sample, a multiple regression was performed and the equation is (time) = 0.076*(distance) + 0.579*(deliveries) - 0.466. Suppose for a given driver's day, he is scheduled to drive 58.908 miles and make 10.97 stops. Suppose it took him 14.302 hours to complete the trip. What is the residual based on the regression model?

Part C options:

Suppose that a researcher studying the weight of female college athletes wants to predict the weights based on height, measured in inches, the percentage of body fat of an athlete, and age. The researcher calculates the regression equation as (weight) = 4.08*(height) + 1.103*(percent body fat) - 0.995*(age) - 82.074. If a female athlete is 68.575 inches tall, has a 23.901 percentage of body fat, is 22.696 years old, and has a weight of 167.763, the residual is -33.7293. Choose the correct interpretation of the residual.

Part D options:

In both your professional and personal life, you will make a variety of decisions. You should consider the financial and nonfinancial aspects while making decisions. To evaluate scenarios, you will also use some tools such as net present value (NPV), internal rate of return (IRR), modified internal rate of return (MIRR), payback, discounted payback, and return on investment (ROI) that you have discussed so far.

In this assignment, you will evaluate the financial aspects of making decisions.

Tasks:

Investigate any two of the following four financial decisions:

1) Using net present value calculations, determine which has a higher ROI. Assume the average mileage under both options is 15,000 miles. The car will be sold for its Kelly Blue Book value at the end of ownership or it will be returned to the leasing dealership for no additional lease/return/mileage cost. The automobile being considered is a 4-cyl, 2.5 liter, two-wheel drive, Nissan Rogue sport utility. At the end of the 6 years, the automobile is in very good condition. Tax, title, or license fees are not considered under either option.

Buying a Nissan Rogue today for $32,000, putting $10,000 down and taking a six-year loan for the rest at 4%

or

Leasing the Rogue for 6 years at $360 a month with a down payment of $3,500 due at delivery. The car must be returned at the end of the lease. 15,000 miles per year are allowed under this lease plan.

Show your work and explain your rationale.

2) Commit to buy a vacation home in the climate of your choice, rent the home out when you are not using it, or sign a five-year lease for the home for the two months a year you plan on using it. You will need to make up the numbers for your home for this exercise.

3) A different buy-or-lease alternative—you could buy a home for $300,000, putting 20% down and renting it out at $1,700 a month. Which would make more financial sense? Buying or leasing the home? Explain your rationale.

4)Lease your home for the next three years or sell it with the intent to return to the same geographic area after you complete a three-year expatriate assignment in the country of your choice. Given the facts above, should you lease the house or sell it? The current market value is approximately $320,000. Explain your rationale, and show your work.

For the two options that you selected (and using the figures given above for those options), investigate the realistic assumptions for your location and include the information you found in the analysis. Create a paper in about 1,000–1,200 words, including the following:

Initial information/approach: purchase price, rebate, down payment, amount to finance, etc.
Payments formulas and calculations
Explanation of the financial factors that you are employing in the selected decisions
Conclusion containing the "best answer" for your personal life on the basis of these financial factors
Probability of following the recommended "best answer" (assuming that these are the only decision options)

One for the Road—Anyone?
“Florence Yozefu is a brilliant scientist who heads a robotics research laboratory at one of the top
ten research universities. Florence has been developing wearable robotics gear that can take over
the driving functions of a vehicle from a human operator when it is worn by the driver. In
laboratory tests, the robot, nicknamed Catchmenot, has performed successfully whenever Florence
and her assistants have worn the robot. However, no real-life experiment has ever been conducted
outside the lab. Florence has been planning to try it out in her project plan but has not yet had a
chance to do so. For New Year’s Eve, Florence has plans to visit her mother and sister, about 100
miles away. This was a good opportunity to show her mother and her sister what she has been
working on in the last few months. So, she decides to take Catchmenot with her. She packs her car
the evening before and on the morning of the trip, she passes by the lab to get her robot and put it
in the car. She drives the 100 miles in a little under her usual time and arrives at her mother’s house
earlier than usual”.
“In the evening, Florence bids her mother good-bye and passes by her sister’s apartment as
promised. At her sister’s apartment, she finds a few of her teen friends and they get right into a
party mode. Florence drinks and dances and forgets about the time. There are many stories to tell
and to listen to. About 1:00 a.m., after the midnight champagne toast, she decides to leave and
drive back to her apartment. She had promised to accompany her friends to a pre-planned
engagement. Although she is very drunk, and against her friend’s advice and insistence that she
should not drive, Florence puts on Catchmenot and in a few minutes she is off. Thirty minutes later,
she is cruising at 70 mph and she is also sound asleep. She is awakened by a squirrel running all
over her car at about 5:00 a.m. She is parked by the roadside in front of her apartment complex.
She has made it home safely. She has no idea when and where she passed out and what happened
along the way. She will never know. Although she is surprised, confused, and feels guilty, she is
happy how well Catchmenot has worked. She decides to market it. How much should she charge
for it, she wonders”.
[Source: Kizza J.M. History of Computing. In: Ethical and Social Issues in the Information Age, 2010,
Texts in Computer Science. Springer, London]
Please answer the following questions:
1. As AI applications increase, such as in the use of robotics, will the wider use of these
“manlike” machines compromise our moral values system? Why or why not? [2 Marks]
2. Discus the future of computer ethics in the integrated environment of Artificial Intelligence
(A I), Virtual Reality (VR), and cyberspace. [3 Marks]
3. If anything went wrong during the ride home, would Florence be responsible? Who should
be? What are the consequences? [3 Marks]
4. Discuss the ethical implications of Artificial Intelligence. [2 Marks]\

Gallatin Carpet Cleaning is a small, family-owned business operating out of Bozeman, Montana. For its services, the company has always charged a flat fee per hundred square feet of carpet cleaned. The current fee is $22.40 per hundred square feet. However, there is some question about whether the company is actually making any money on jobs for some customers—particularly those located on remote ranches that require considerable travel time. The owner’s daughter, home for the summer from college, has suggested investigating this question using activity-based costing. After some discussion, she designed a simple system consisting of four activity cost pools. The activity cost pools and their activity measures appear below:

The total cost of operating the company for the year is $354,000 which includes the following costs:

Resource consumption is distributed across the activities as follows:

Job support consists of receiving calls from potential customers at the home office, scheduling jobs, billing, resolving issues, and so on.

Required:

1. Prepare the first-stage allocation of costs to the activity cost pools.

2. Compute the activity rates for the activity cost pools.

3. The company recently completed a 200 square foot carpet-cleaning job at the Flying N Ranch—a 51-mile round-trip journey from the company’s offices in Bozeman. Compute the cost of this job using the activity-based costing system.

4. The revenue from the Flying N Ranch was $44.80 (200 square feet @ $22.40 per hundred square feet). Calculate the customer margin earned on this job.

As part of a study designed to compare hybrid and similarly equipped conventional vehicles, Consumer Reports tested a variety of classes of hybrid and all-gas model cars and sport utility vehicles (SUVs). The following data show the miles-per-gallon rating Consumer Reports obtained for two hybrid small cars, two hybrid midsize cars, two hybrid small SUVs, and two hybrid midsize SUVs; also shown are the miles per gallon obtained for eight similarly equipped conventional models.

At the α = 0.05 level of significance, test for significant effects due to class, type, and interaction.

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

Find the p-value for class. (Round your answer to three decimal places.)

State your conclusion about class.

A) Because the p-value > α = 0.05, class is not significant.

B) Because the p-value ≤ α = 0.05, class is significant.

C) Because the p-value ≤ α = 0.05, class is not significant.

D) Because the p-value > α = 0.05, class is significant.

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

Find the p-value for type. (Round your answer to three decimal places.)

State your conclusion about type.

A) Because the p-value ≤ α = 0.05, type is not significant.

B) Because the p-value > α = 0.05, type is significant.

C) Because the p-value > α = 0.05, type is not significant.

D) Because the p-value ≤ α = 0.05, type is significant.

Find the value of the test statistic for interaction between class and type. (Round your answer to two decimal places.)

Find the p-value for interaction between class and type. (Round your answer to three decimal places.)

State your conclusion about interaction between class and type.

A) Because the p-value > α = 0.05, interaction between class and type is significant.

B) Because the p-value ≤ α = 0.05, interaction between class and type is significant.    

C) Because the p-value ≤ α = 0.05, interaction between class and type is not significant.

D) Because the p-value > α = 0.05, interaction between class and type is not significant.

A new fuel injection system has been engineered for pickup trucks. The new system and the old system both produce about the same average miles per gallon. However, engineers question which system (old or new) will give better consistency in fuel consumption (miles per gallon) under a variety of driving conditions. A random sample of 41 trucks were fitted with the new fuel injection system and driven under different conditions. For these trucks, the sample variance of gasoline consumption was 53.6. Another random sample of 24trucks were fitted with the old fuel injection system and driven under a variety of different conditions. For these trucks, the sample variance of gasoline consumption was 39.7. Test the claim that there is a difference in population variance of gasoline consumption for the two injection systems. Use a 5% level of significance. How could your test conclusion relate to the question regarding the consistency of fuel consumption for the two fuel injection systems?

(a) What is the level of significance?
  

State the null and alternate hypotheses.

H_o: σ₁² = σ₂²; H₁: σ₁² > σ₂²H_o: σ₁² > σ₂²; H₁: σ₁² = σ₂²    H_o: σ₂² = σ₁²; H₁: σ₂² > σ₁²H_o: σ₁² = σ₂²; H₁: σ₁² ≠ σ₂²

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

What are the degrees of freedom?

What assumptions are you making about the original distribution?

The populations follow independent normal distributions.The populations follow independent normal distributions. We have random samples from each population.    The populations follow dependent normal distributions. We have random samples from each population.The populations follow independent chi-square distributions. We have random samples from each population.

(c) Find or estimate the P-value of the sample test statistic.

P-value > 0.2000.100 < P-value < 0.200    0.050 < P-value < 0.1000.020 < P-value < 0.0500.002 < P-value < 0.020P-value < 0.002

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.\

(e) Interpret your conclusion in the context of the application.

Fail to reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.

Reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.   

Reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.

Fail to reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.

Linton Company purchased a delivery truck for $29,000 on January 1, 2017. The truck has an expected salvage value of $2,100, and is expected to be driven 106,000 miles over its estimated useful life of 10 years. Actual miles driven were 15,300 in 2017 and 13,400 in 2018. Correct answer. Your answer is correct. Calculate depreciation expense per mile under units-of-activity method. (Round answer to 2 decimal places, e.g. 0.52.) Depreciation expense $Entry field with correct answer .25 per mile SHOW LIST OF ACCOUNTS SHOW SOLUTION SHOW ANSWER LINK TO TEXT Correct answer. Your answer is correct. Compute depreciation expense for 2017 and 2018 using (1) the straight-line method, (2) the units-of-activity method, and (3) the double-declining-balance method. (Round depreciation cost per unit to 2 decimal places, e.g. 0.50 and depreciation rate to 0 decimal places, e.g. 15%. Round final answers to 0 decimal places, e.g. 2,125.) Depreciation Expense 2017 2018 (1) Straight-line method $Entry field with correct answer 2690 $Entry field with correct answer 2690 (2) Units-of-activity method $Entry field with correct answer 3825 $Entry field with correct answer 3350 (3) Double-declining-balance method $Entry field with correct answer 5800 $Entry field with correct answer 4640 SHOW LIST OF ACCOUNTS SHOW SOLUTION SHOW ANSWER LINK TO TEXT Partially correct answer. Your answer is partially correct. Try again. Assume that Linton uses the straight-line method. Prepare the journal entry to record 2017 depreciation. (Credit account titles are automatically indented when amount is entered. Do not indent manually. If no entry is required, select "No Entry" for the account titles and enter 0 for the amounts. Round answers to 0 decimal places, e.g. 2,125.) Account Titles and Explanation Debit Credit Entry field with correct answer Depreciation Expense Entry field with correct answer 2690 Entry field with correct answer Entry field with incorrect answer now contains modified data Accumulated Depreciation-Equipment Entry field with correct answer Entry field with correct answer 2690 SHOW LIST OF ACCOUNTS LINK TO TEXT Partially correct answer. Your answer is partially correct. Try again. Assume that Linton uses the straight-line method. Show how the truck would be reported in the December 31, 2017, balance sheet. (Round answers to 0 decimal places, e.g. 2,125.) LINTON COMPANY Partial Balance Sheet Entry field with correct answer Entry field with incorrect answer now contains modified data $Entry field with incorrect answer now contains modified data 29000 Entry field with correct answer: Entry field with incorrect answer now contains modified data Accumulated Depreciation-Equipment Entry field with incorrect answer now contains modified data 2690 $Entry field with incorrect answer now contains modified data 26310

A new fuel injection system has been engineered for pickup trucks. The new system and the old system both produce about the same average miles per gallon. However, engineers question which system (old or new) will give better consistency in fuel consumption (miles per gallon) under a variety of driving conditions. A random sample of 31 trucks were fitted with the new fuel injection system and driven under different conditions. For these trucks, the sample variance of gasoline consumption was 52.7. Another random sample of 24 trucks were fitted with the old fuel injection system and driven under a variety of different conditions. For these trucks, the sample variance of gasoline consumption was 38.5. Test the claim that there is a difference in population variance of gasoline consumption for the two injection systems. Use a 5% level of significance. How could your test conclusion relate to the question regarding the consistency of fuel consumption for the two fuel injection systems?

(a) What is the level of significance?


State the null and alternate hypotheses.

H_o: σ₁² = σ₂²; H₁: σ₁² > σ₂²H_o: σ₁² > σ₂²; H₁: σ₁² = σ₂²    H_o: σ₂² = σ₁²; H₁: σ₂² > σ₁²H_o: σ₁² = σ₂²; H₁: σ₁² ≠ σ₂²

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


What are the degrees of freedom?

What assumptions are you making about the original distribution?

The populations follow dependent normal distributions. We have random samples from each population.The populations follow independent chi-square distributions. We have random samples from each population.    The populations follow independent normal distributions. We have random samples from each population.The populations follow independent normal distributions.

(c) Find or estimate the P-value of the sample test statistic.

P-value > 0.2000.100 < P-value < 0.200    0.050 < P-value < 0.1000.020 < P-value < 0.0500.002 < P-value < 0.020P-value < 0.002

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

(e) Interpret your conclusion in the context of the application.

Fail to reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.Reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.    Reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.Fail to reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.

A new fuel injection system has been engineered for pickup trucks. The new system and the old system both produce about the same average miles per gallon. However, engineers question which system (old or new) will give better consistency in fuel consumption (miles per gallon) under a variety of driving conditions. A random sample of 41 trucks were fitted with the new fuel injection system and driven under different conditions. For these trucks, the sample variance of gasoline consumption was 53. Another random sample of 21 trucks were fitted with the old fuel injection system and driven under a variety of different conditions. For these trucks, the sample variance of gasoline consumption was 33.1. Test the claim that there is a difference in population variance of gasoline consumption for the two injection systems. Use a 5% level of significance. How could your test conclusion relate to the question regarding the consistency of fuel consumption for the two fuel injection systems?

(a) What is the level of significance?


State the null and alternate hypotheses.

H_o: σ₁² = σ₂²; H₁: σ₁² > σ₂²H_o: σ₁² > σ₂²; H₁: σ₁² = σ₂²    H_o: σ₂² = σ₁²; H₁: σ₂² > σ₁²H_o: σ₁² = σ₂²; H₁: σ₁² ≠ σ₂²

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


What are the degrees of freedom?

What assumptions are you making about the original distribution?

The populations follow independent normal distributions. We have random samples from each population.The populations follow dependent normal distributions. We have random samples from each population.    The populations follow independent normal distributions.The populations follow independent chi-square distributions. We have random samples from each population.

(c) Find or estimate the P-value of the sample test statistic.

P-value > 0.2000.100 < P-value < 0.200    0.050 < P-value < 0.1000.020 < P-value < 0.0500.002 < P-value < 0.020P-value < 0.002

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

(e) Interpret your conclusion in the context of the application.

Fail to reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.Reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is greater in the new fuel injection systems.    Reject the null hypothesis, there is sufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.Fail to reject the null hypothesis, there is insufficient evidence that the variance in consumption of gasoline is different in both fuel injection systems.

Gallatin Carpet Cleaning is a small, family-owned business operating out of Bozeman, Montana. For its services, the company has always charged a flat fee per hundred square feet of carpet cleaned. The current fee is $22.10 per hundred square feet. However, there is some question about whether the company is actually making any money on jobs for some customers—particularly those located on remote ranches that require considerable travel time. The owner’s daughter, home for the summer from college, has suggested investigating this question using activity-based costing. After some discussion, she designed a simple system consisting of four activity cost pools. The activity cost pools and their activity measures appear below:

The total cost of operating the company for the year is $352,000 which includes the following costs:

Resource consumption is distributed across the activities as follows:

Job support consists of receiving calls from potential customers at the home office, scheduling jobs, billing, resolving issues, and so on.

Required:

1. Prepare the first-stage allocation of costs to the activity cost pools.

2. Compute the activity rates for the activity cost pools. (Round your answers to 2 decimal places.)

3. The company recently completed a 400 square foot carpet-cleaning job at the Flying N Ranch—a 50-mile round-trip journey from the company’s offices in Bozeman. Compute the cost of this job using the activity-based costing system. (Round your intermediate calculations and final answer to 2 decimal places.)

4. The revenue from the Flying N Ranch was $88.40 (4 hundred square feet @ $22.10 per hundred square feet). Calculate the customer margin earned on this job. (Round your intermediate calculations and final answers to 2 decimal places.)