Questions
A statistical program is recommended. A highway department is studying the relationship between traffic flow and...

A statistical program is recommended.

A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y = β0 + β1x + ε

where

  • y = traffic flow in vehicles per hour
  • x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

Traffic Flow
(y)
Vehicle Speed
(x)
1,257 35
1,331 40
1,225 30
1,337 45
1,349 50
1,126 25

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

ŷ = b0 + b1x + b2x2

(a)

Develop an estimated regression equation for the data of the form

ŷ = b0 + b1x + b2x2.

(Round b0 to the nearest integer and b1 to two decimal places and b2 to three decimal places.)ŷ =

(b)

Use α = 0.01 to test for a significant relationship.

State the null and alternative hypotheses.

H0: b1 = b2 = 0
Ha: One or more of the parameters is not equal to zero.H0: b0 = b1 = b2 = 0
Ha: One or more of the parameters is not equal to zero.    H0: One or more of the parameters is not equal to zero.
Ha: b0 = b1 = b2 = 0H0: One or more of the parameters is not equal to zero.
Ha: b1 = b2 = 0

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

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

p-value =

What is your conclusion?

Reject H0. We conclude that the relationship is significant.Do not reject H0. We cannot conclude that the relationship is significant.    Reject H0. We cannot conclude that the relationship is significant.Do not reject H0. We conclude that the relationship is significant.

(c)

Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

vehicles per hour

In: Statistics and Probability

Consider the following data for two variables, x and y. x 9 32 18 15 26...

Consider the following data for two variables, x and y.

x 9 32 18 15 26
y 10 19 21 17 23

(a)Develop an estimated regression equation for the data of the form ŷ = b0 + b1x. (Round b0 to two decimal places and b1 to three decimal places.)

ŷ =____

(b)Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to two decimal places and b1 to three decimal places and b2 to four decimal places.)

ŷ =____

(c)Use the model from part (b) to predict the value of y when x = 20. (Round your answer to two decimal places.)____

**A highway department is studying the relationship between traffic flow and speed. The following model has been hypothesized:

y = β0 + β1x + ε

where

  • y = traffic flow in vehicles per hour
  • x = vehicle speed in miles per hour.

The following data were collected during rush hour for six highways leading out of the city.

Traffic Flow
(y)
Vehicle Speed
(x)
1,258 35
1,330 40
1,226 30
1,336 45
1,349 50
1,123 25

In working further with this problem, statisticians suggested the use of the following curvilinear estimated regression equation.

ŷ = b0 + b1x + b2x2

(a)Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to the nearest integer and b1 to two decimal places and b2 to three decimal places.)

ŷ =_____

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

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

p-value = ______

(c)Base on the model predict the traffic flow in vehicles per hour at a speed of 38 miles per hour. (Round your answer to two decimal places.)

______vehicles per hour

In: Statistics and Probability

1. An oil tanker belonging to Oil Finders, Inc. runs aground and causes a massive oil...

1. An oil tanker belonging to Oil Finders, Inc. runs aground and causes a massive oil spill that damages several miles of the Texas coastline. As a result, several public beaches are rendered unusable to the public. Riker and Picard are avid surfers who like to hit the waves as often as they can. Because of the oil spill, they will not be able to surf for at least six months. They file suit against Oil Finders, Inc. for nuisance. Will the court hear their suit? Defend your answer.

2. An oil tanker belonging to Oil Finders, Inc. runs aground and causes a massive oil spill that damages several miles of the Texas coastline. As a result, several public beaches are rendered unusable to the public. Riker and Picard make their living harvesting clams and oysters at the various beaches in the area and their business has been destroyed as a result of the oil spill. They file suit against Oil Finders, Inc. for nuisance. Will the court hear their suit? Defend your answer.

3.John and Kelsey live in a house in Missouri that they purchased for $250,000. The town has never had a garbage dump and the city government has spent millions of dollars over the years sending the town's trash to a dump located in a different part of the state. In order to save money, the town contracts with Mr. Barr, the president of a waste management company, to build and maintain a landfill at the edge of the town. Within six months, the landfill is operational. Eventually, as more and more of the town's trash gets dumped into the landfill, the residents of the town are subjected to the odor that the landfill gives off. The odor is not constant but, on windy days, it is noticeable. As a result, the house that John and Kelsey bought for $250,000 is reduced in value to $240,000. If John sues the town for nuisance, which of the following is most likely to occur?

Defend your answer/ Win, because his house's value has been reduced.

Win, because John moved to the neighborhood before the landfill opened.

Lose, because the odor is not constant. Lose, because benefits of the landfill outweigh the damage done to John.

In: Economics

Can You Please put together the building depreciation schedule? PLANNED ASSET ACQUISITIONS Reminder that the company’s...

Can You Please put together the building depreciation schedule?
PLANNED ASSET ACQUISITIONS
Reminder that the company’s fiscal year is July 1 through June 30.
Asset Cost Useful life Salvage Value Depreciation Method Purchase Date
Land 500,000 N/A N/A N/A 1-Jul-21
Building 490,500 30 40,500 Straight line 1-Jul-21
Office Equipment 479,500 3 14,500 Straight line 1-Nov-21
Delivery Equipment 550,000 5 20,000 production 1-Feb-22
Additional information related to the $550,000 delivery equipment purchase: It is ESTIMATED that the equipment will be ABLE TO DRIVE 250,000 total miles over its lifetime. To complete the depreciation schedule, PRESUME that the actual miles driven for its useful life are as indicated below. Also, round depreciation expense per unit to the nearest cent and depreciation expense to the nearest dollar.
Year 1 32,500
Year 2 56,800
Year 3 55,950
Year 4 52,600
Year 5 56,500
Building Depreciation Schedule
Depreciation for the Year
Asset Dep'ble Depreciation Accumulated Book
Date Cost basis Rate Expense Depreciation Value
1/0/00
6/30/22
6/30/23
6/30/24
6/30/25
Office Equipment Depreciation Schedule
Depreciation for the Year
Asset Dep'ble Depreciation Accumulated Book
Date Cost basis Rate Expense Depreciation Value
1/0/00
6/30/22
6/30/23
6/30/24
6/30/25
Delivery Equipment Depreciation Schedule
Depreciation for the Year
Depreciation
Asset per unit Units of Depreciation Accumulated Book
Date Cost Production Expense Depreciation Value
1/0/00
6/30/22
6/30/23
6/30/24
6/30/25
6/30/26

In: Accounting

(05.01 MC) Suppose we select a simple random sample of size n = 250 from a...

(05.01 MC)

Suppose we select a simple random sample of size n = 250 from a large population with a proportion p of successes. Let p̂ be the proportion of successes in the sample. For which value of p is it appropriate to use the Normal approximation for the sampling distribution of p̂? (4 points)

a

0.03

b

0.15

c

0.02

d

0.97

e

0.99

(05.04 MC)

A parks and recreational board in Birch County is interested in estimating the proportion of its residents in favor of having more public parks in that county. A random sample of Birch County residents was selected. All the selected residents were asked, "Are you in favor of having more public parks in your county?" A 98% confidence interval for the proportion of residents in favor of having more public parks in that county was calculated to be 0.54 ± 0.03. Which of the following statements is correct? (4 points)

a

At the 98% confidence level, the majority of area residents is in favor of having more public parks in that county.

b

At the 98% confidence level, the estimate of 0.54 is within 0.03 of the true proportion of county residents in favor of having more public parks in that county.

c

In repeated sampling, 98% of sample proportions will fall in the interval (0.51, 0.57).

d

In repeated sampling, the true proportion of county residents in favor of having more public parks in that county will fall in the interval (0.51, 0.57).

e

In repeated sampling, 98% of the time the true proportion of county residents in favor of having more public parks in that county will be equal to 0.54.

(05.05 MC)

The speed of a car, measured in miles per hour, was determined 10 times at random. The results are 22, 43, 35, 32, 41, 28, 29, 30, 37, and 43 miles per hour. Construct a 95% confidence interval for the mean speed of this vehicle. (4 points)

a

(28.9642, 39.0358)

b

(29.2226, 38.7774)

c

(28.9642, 38.7774)

d

(29.2226, 39.0358)

e

(29.9193, 38.0807)

In: Statistics and Probability

14.5 A consumer organization wants to develop a regression model to predict gasoline mileage (as measured...

14.5 A consumer organization wants to develop a regression model to predict gasoline mileage (as measured by miles per gallon) based on the horsepower of the car’s engine and the weight of the car, in pounds. A sample of 50 recent car models was selected, with the results recorded in the file auto.xls.

                a. State the multiple regression equation.

                b.   Interpret the meaning of the slopes, b1 and b2, in this problem.

                c.   Explain why the regression coefficient, b0, has no practical meaning in the context of this problem.

                d.   Predict the mean miles per gallon for cars that have 60 horsepower and weigh 2,000 pounds.

Show how to get all answers in Excel format

MPG Horsepower Weight
43.1 48 1985
19.9 110 3365
19.2 105 3535
17.7 165 3445
18.1 139 3205
20.3 103 2830
21.5 115 3245
16.9 155 4360
15.5 142 4054
18.5 150 3940
27.2 71 3190
41.5 76 2144
46.6 65 2110
23.7 100 2420
27.2 84 2490
39.1 58 1755
28.0 88 2605
24.0 92 2865
20.2 139 3570
20.5 95 3155
28.0 90 2678
34.7 63 2215
36.1 66 1800
35.7 80 1915
20.2 85 2965
23.9 90 3420
29.9 65 2380
30.4 67 3250
36.0 74 1980
22.6 110 2800
36.4 67 2950
27.5 95 2560
33.7 75 2210
44.6 67 1850
32.9 100 2615
38.0 67 1965
24.2 120 2930
38.1 60 1968
39.4 70 2070
25.4 116 2900
31.3 75 2542
34.1 68 1985
34.0 88 2395
31.0 82 2720
27.4 80 2670
22.3 88 2890
28.0 79 2625
17.6 85 3465
34.4 65 3465
20.6 105 3380

In: Statistics and Probability

(Also how to solve on ti-84) 1. Fuel efficiency. Computers in some vehicles calculate various quantities...

(Also how to solve on ti-84)

1.

Fuel efficiency. Computers in some vehicles calculate various quantities related to performance. One of these is the fuel efficiency, or gas mileage, usually expressed as miles per gallon (mpg). One of the authors of this book conducted an experiment with his 2006 Toyota Highlander Hybrid by randomly recording mpg readings shown on the vehicle computer while the car was set to 60 miles per hour by cruise control. Here are the mpg values from the experiment:

37.2 21 17.4 24.9 27
19 26.1 25.8 41.4 34.4
36.9 38.8 35.3 32.3 23.9
32.5 25.3 26.5 28.2 22.1

Sigma, σ, is unknown.

What is the standard error of the mean? (use 3 decimal places)

What is the 98% confidence interval for the mean mpg? [ mpg, mpg] (use 2 decimal places)

Answer Key: 1.541, 24.89, 32.71

Feedback: Incorrect

2.

Clothing for runners. Your company sells exercise clothing and equipment on the Internet. To design the clothing, you collect data on the physical characteristics of your different types of customers. Here are the weights (in kilograms) for a sample of 24 male runners. Assume that these runners can be viewed as a random sample of your potential male customers.

68.7 61.8 63.2 53.1 62.3 59.7
65.6 65.5 56 57.8 66 62.9
55.4 58.9 60.9 69.2 63.7 67.8
53.6 65 55.8 60.4 69.3 62.1

Give a 99% confidence interval for μ, the mean of the population from which the sample is drawn.

What is the sample standard deviation? kg

What is the T confidence coefficient value corresponding to a 99%? (use 3 decimal places)

What is the margin of error? (use 3 decimal places)

What is the 99% confidence interval? [ kg, kg]

Answer Key: 4.8579, 2.807, 2.783, 59.01, 64.65

In: Statistics and Probability

Purchasing a car is a difficult decision. Car prices are a function of many variables such...

Purchasing a car is a difficult decision. Car prices are a function of many variables such as mileage, age, foreign or domestic manufacture and engine technology utilized. Develop and run the following multiple regression model:

  1. Interpret the beta coefficient (slope)s of all slopes: mileage, age, dummy engine and dummy foreign
  2. Interpret R squared value of the model and root mean squared error (RMSE)
  3. Would mileage and age influence your decision based on the statistical output for this sample data?
  4. Would the price of a car be raised if a car were of foreign make and used V6 engine technology?

What will the expected price of a car be in the lemon market if the age of a car was 8 years, with 9,000 miles on it, is of foreign make and with V6 engine?

Use Car Price ($) Mileage (Miles) Age (Years) Dummy Engine: V6 Technology=0, Not V6 Technology=1 Dummy Foreign: US=0, Foreign=1
26900 18000 10 1 1
24995 18500 11 0 1
23998 18670 12 0 1
22988 19000 17 1 0
21895 19020 16 0 0
20995 19540 18 1 0
19995 20001 19 0 0
19995 20025 19 0 0
18995 21000 18 0 0
18975 21250 17 0 0
17999 22000 17 0 0
17995 22134 18 0 0
17995 22345 18 0 0
16950 23450 19 1 0
16922 23540 20 0 0
16796 23780 20 1 0
15988 24000 21 0 1
14995 24670 22 0 1
14995 25000 23 1 1
14990 25009 23 1 1
13877 26001 24 0 1
11995 27001 15 0 1
11495 27250 16 0 1
10990 28000 17 0 1

In: Statistics and Probability

Joe operates a business that locates and purchases specialized assets for clients, among other activities. Joe...

Joe operates a business that locates and purchases specialized assets for clients, among other activities. Joe uses the accrual method of accounting but he doesn’t keep any significant inventories of the specialized assets that he sells. Joe reported the following financial information for his business activities during year 0.
Determine the effect of each of the following transactions on the taxable business income. (Select "No Effect" from the dropdown if no change in the taxable business income.)

f. Joe hired a new sales representative as an employee and sent her to Dallas for a week to contact prospective out-of-state clients. Joe ended up reimbursing his employee $460 for airfare, $510 for lodging, $410 for meals, and $310 for entertainment (Joe provided adequate documentation to substantiate the business purpose for the meals and entertainment). Joe requires the employee to account for all expenditures in order to be reimbursed.

g. Joe uses his BMW (a personal auto) to travel to and from his residence to his factory. However, he switches to a business vehicle if he needs to travel after he reaches the factory. Last month, the business vehicle broke down and he was forced to use the BMW both to travel to and from the factory and to visit work sites. He drove 200 miles visiting work sites and 78 miles driving to and from the factory from his home. Joe uses the standard mileage rate to determine his auto-related business expenses. (Round your answer to whole number. Use standard mileage rate.)

h. Joe paid a visit to his parents in Dallas over the Christmas holidays. While he was in the city, Joe spent $130 to attend a half-day business symposium. Joe paid $360 for airfare, $114 for meals during the symposium, and $68 on cab fare to the symposium.

Determine if it is (Amount of deduction, Amount of income, or No effect for each and the dollar figure associated).

In: Accounting

You are a car thief. You steal late-model cars in a major U.S. city and drive...

You are a car thief. You steal late-model cars in a major U.S. city and drive them across the border to sell them for an average price of $10,000. You are enrolled in Ms. Smith’s managerial accounting class and you want to know if crime, indeed, does pay. So you calculate your costs thus:

~ on average, you drive 2,000 miles from start to destination. Your gas cost over the past year has averaged $3.00 a gallon, and most of the cars you drive get about 10 miles to the gallon.

~ each trip averages about 5 days. Your average cost per day of food and lodging is $30. 3) tips and bribes cost you about another $120 per job.

~ your major other cost comes from the “paint and body work” you must have done at the beginning of the job – your buddy Slade Slick charges you $3,500 per “conversion.”   

~ you also incur a “hiding out” cost between jobs – you stay in motels in the U.S. that average about $50 a day and your food cost comes to around $20/day. You spend about 9 days between jobs in your hideout mode.

~ your only other cost is lawyers’ fees – in the last year, you had to pay a lawyer $125,000 to defend you against felony theft charges. You estimate that you will probably caught, on the average, of once a year.

QUESTION:

a)What is your breakeven point in number of cars?

b) How many cars can you steal in one year if you take no vacation time?

c) You want to know if you should keep stealing cars or whether you should go to work for your brother, Honest Abe, for $10/hour.

d) how much money will you make, on average, in a year?

In: Accounting