together juan and mark take 6 hours to paint a room. if it takes mark 15 hours by himself how long d
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together it takes juan and mark 6 hours to paint a room. if it takes mark 15 hours by himself how long does it take juan by himself
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Find three geometric means between 9 and 144, homework help
Find three geometric means between 9 and 144.A. 42.75, 76.5, 110.25B. 2304, 36864, 589824C. 18, 36, 72D. 27, 81, 243
Find three geometric means between 9 and 144, homework help
Find three geometric means between 9 and 144.A. 42.75, 76.5, 110.25B. 2304, 36864, 589824C. 18, 36, 72D. 27, 81, 243
Walden University Statistics Multiple Regression Paper
Review this week 9 and 10 Learning Resources and media program related to multiple regressio ...
Walden University Statistics Multiple Regression Paper
Review this week 9 and 10 Learning Resources and media program related to multiple regression.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.
Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 1 Assignment:
Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Part 2
To prepare for this Part 2 of your Assignment:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Required Readings
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables”
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center..
Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152)
Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Non-Normally Distributed Errors. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 41-49). Thousand Oaks, CA: SAGE Publications, Inc.
Fox, J. (1991). Regression diagnostics. Thousand Oaks, CA: SAGE Publications.
Discrete Data. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 62-67). Thousand Oaks, CA: SAGE Publications, Inc.
Nonconstant Error Variance. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 49-54). Thousand Oaks, CA: SAGE Publications, Inc.
Nonlinearity. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 54-62). Thousand Oaks, CA: SAGE Publications, Inc.
Outlying and Influential Data. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 22-41). Thousand Oaks, CA: SAGE Publications, Inc.
Fox, J. (Ed.). (1991). Regression diagnostics. Thousand Oaks, CA: SAGE Publications.
Chapter 3, “Outlying and Influential Data” (pp. 22–41)
Chapter 4, “Non-Normally Distributed Errors” (pp. 41–49)
Chapter 5, “Nonconstant Error Variance” (pp. 49–54)
Chapter 6, “Nonlinearity” (pp. 54–62)
Chapter 7, “Discrete Data” (pp. 62–67)
Note: You will access these chapters through the Walden Library databases.
Document: Walden University: Research Design Alignment Table
Required Media
Laureate Education (Producer). (2016m). Regression diagnostics and model evaluation [Video file]. Baltimore, MD: Author.
Note: The approximate length of this media piece is 7 minutes.
In this media program, Dr. Matt Jones demonstrates regression diagnostics and model evaluation using the SPSS software.
Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript
Laureate Education (Producer). (2016). Dummy variables [Video file]. Baltimore, MD: Author.
Note: This media program is approximately 12 minutes.
In this media program, Dr. Matt Jones demonstrates dummy variables using the SPSS software.
Advertising Expenditure A to Total Sales S in Thousands of Dollars Analysis
Requirements:Paper must be written in 3rd person.Your paper should be 4-5 pages in length (counting the title page and ref ...
Advertising Expenditure A to Total Sales S in Thousands of Dollars Analysis
Requirements:Paper must be written in 3rd person.Your paper should be 4-5 pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Statistical Package for the Social Sciences Analytics Questions
Hi,I need stepwise solutions for all the questions in the attached files. All the instructions are in the word file. SPSS ...
Statistical Package for the Social Sciences Analytics Questions
Hi,I need stepwise solutions for all the questions in the attached files. All the instructions are in the word file. SPSS is required to complete the assignments. The data for the same is in the excel files.Thanks :)
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1. ...
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1.
Chapter 16 Case Study
(Foot Locker), pages 618-619. (Start with “Supposing Foot Locker”) Hint: Use
the chi-square test of independence formula on page 610 to compute by hand or
go to: http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html (Links
to an external site.)Foot Locker in the Shoe MixFoot Locker, Inc., is the world's number one
retailer of athletic footwear and apparel. Headquartered in New York City, the
company has over 44,000 employees and 3369 retail stores in 23 countries across
North America, Europe, Australia, and New Zealand operating under such brand
names as Foot Locker, Lady Foot Locker, Kids Foot Locker, Footaction, Champs
Sports, and CCS. Foot Locker estimates that it controls about 18% of the U.S.
$15 billion athletic footwear market. The company intends to increase its share
of the worldwide market by adding additional stores and by growing its Internet
and catalog business.
In recent years, Foot Locker officials have
been rethinking the company's retail mix. Determining the shoe mix that will maximize
profits is an important decision for Foot Locker. By the year 2002, in an
effort to stock more lower-priced footwear, the company had reduced its
inventory of sneakers priced at $120 or more by 50%.
DISCUSSION
Suppose the data
presented below represented the number of unit sales (million $) for athletic
footwear in the years 2000 and 2012. Use techniques presented in this chapter
to analyze these data and discuss the business implications for Foot Locker.
Price Category
2000
2012
Less than $30
115
126
$30-less than
$40
38
40
$40-less than
$50
37
35
$50-less than
$60
30
27
$60-less than
$70
22
20
$70-less than
$85
21
20
$85-less than
$100
11
11
$100 or more
17
18
Suppose Foot Locker
strongly encourages its employees to make formal suggestions to improve the
store, the product, and the working environment. Suppose a quality auditor
keeps records of the suggestions, the persons who submitted them, and the
geographic region from which they come. A possible breakdown of the number of
suggestions over a 3-year period by employee sex and geographic location
follows. Is there any relationship between the sex of the employee and the
geographic location in terms of number of suggestions? If they are related,
what does this relationship mean to the company? What business implications
might there be for such an analysis?
Sex
Male
Female
U.S. West
29
43
U.S. South
48
20
Location
U.S. East
52
61
U.S. North
28
25
Europe
78
32
Australia
47
29
3.
16.1
The Financial
database contains seven different types of companies. These seven are denoted
by the variable Type. Use a chi-square goodness-of-fit test to determine
whether the seven types of companies are uniformly distributed in this
database.
4.
16.2
In the Manufacturing
database, is the Value of Industrial Shipments (a four-category variable)
uniformly distributed across the database?
5.
16.3
Use a chi-square
test of independence to determine whether Control is independent of Service
in the Hospital database. Comment on the results of this test.
6.
16.4
In the Consumer
database, is Location independent of Region? Use a chi-square test of
independence to answer the question.
2.
Click this link
http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html
Input '6' for number of rows and '2' for number of columns,
click 'submit', then you will see a new page with blank cells, type the data in
the given problem into those cells, then click 'Calculate now' to see the
results.
Interpret the
results.
For supplemental file, click on the following link: BUS6780_M5HomeworkAssignment
#2.docx
3.
Chapter 12 Case
Study (Caterpillar), pages 471-472, question 1 only. Use an alpha of
.05. You need to submit your supporting formula work or work in
Excel.
The United States Department of Agriculture
(USDA), in conjunction with the Forest Service, publishes information to assist
companies in estimating the cost of building a temporary road for such
activities as a timber sale. Such roads are generally built for one or two
seasons of use for limited traffic and are designed with the goal of
reestablishing vegetative cover on the roadway and adjacent disturbed area
within ten years after the termination of the contract, permit, or lease. The
timber sale contract requires out sloping, removal of culverts and ditches, and
building water bars or cross ditches after the road is no longer needed. As
part of this estimation process, the company needs to estimate haul costs. The
USDA publishes variable costs in dollars per cubic-yard-mile of hauling dirt
according to the speed with which the vehicle can drive. Speeds are mainly
determined by the road width, the sight distance, the grade, the curves and the
turnouts. Thus, on a steep, narrow, winding road, the speed is slow; and on a
flat, straight, wide road, the speed is faster. Shown below are data on speed,
cost per cubic yard for a 12 cubic yard end-dump vehicle, and cost per cubic
yard for a 20 cubic yard bottom-dump vehicle. Use these data and simple
regression analysis to develop models for predicting the haul cost by speed for
each of these two vehicles. Discuss the strength of the models. Based on the
models, predict the haul cost for 35 mph and for 45 mph for each of these
vehicles.
SPEED (MPH)
HAUL COST
12-CUBIC-YARD END-DUMP VEHICLE $ PER CUBIC YD.
HAUL COST
20-CUBIC-YARD BOTTOM-DUMP VEHICLE $ PER CUBIC YD.
10
$2.46
$1.98
15
$1.64
$1.31
20
$1.24
$0.98
25
$0.98
$0.77
30
$0.82
$0.65
40
$0.62
$0.47
50
$0.48
$0.40
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Most Popular Content
Find three geometric means between 9 and 144, homework help
Find three geometric means between 9 and 144.A. 42.75, 76.5, 110.25B. 2304, 36864, 589824C. 18, 36, 72D. 27, 81, 243
Find three geometric means between 9 and 144, homework help
Find three geometric means between 9 and 144.A. 42.75, 76.5, 110.25B. 2304, 36864, 589824C. 18, 36, 72D. 27, 81, 243
Walden University Statistics Multiple Regression Paper
Review this week 9 and 10 Learning Resources and media program related to multiple regressio ...
Walden University Statistics Multiple Regression Paper
Review this week 9 and 10 Learning Resources and media program related to multiple regression.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
Based on the dataset you chose, construct a research question that can be answered with a multiple regression analysis.
Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 1 Assignment:
Write a 1- to 2-page analysis of your multiple regression results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Part 2
To prepare for this Part 2 of your Assignment:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this week’s Learning Resources and consider the use of dummy variables.
Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
Required Readings
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables”
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center..
Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136)
Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152)
Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Non-Normally Distributed Errors. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 41-49). Thousand Oaks, CA: SAGE Publications, Inc.
Fox, J. (1991). Regression diagnostics. Thousand Oaks, CA: SAGE Publications.
Discrete Data. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 62-67). Thousand Oaks, CA: SAGE Publications, Inc.
Nonconstant Error Variance. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 49-54). Thousand Oaks, CA: SAGE Publications, Inc.
Nonlinearity. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 54-62). Thousand Oaks, CA: SAGE Publications, Inc.
Outlying and Influential Data. (1991). In J. Fox (Ed.), Regression Diagnostics. (pp. 22-41). Thousand Oaks, CA: SAGE Publications, Inc.
Fox, J. (Ed.). (1991). Regression diagnostics. Thousand Oaks, CA: SAGE Publications.
Chapter 3, “Outlying and Influential Data” (pp. 22–41)
Chapter 4, “Non-Normally Distributed Errors” (pp. 41–49)
Chapter 5, “Nonconstant Error Variance” (pp. 49–54)
Chapter 6, “Nonlinearity” (pp. 54–62)
Chapter 7, “Discrete Data” (pp. 62–67)
Note: You will access these chapters through the Walden Library databases.
Document: Walden University: Research Design Alignment Table
Required Media
Laureate Education (Producer). (2016m). Regression diagnostics and model evaluation [Video file]. Baltimore, MD: Author.
Note: The approximate length of this media piece is 7 minutes.
In this media program, Dr. Matt Jones demonstrates regression diagnostics and model evaluation using the SPSS software.
Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript
Laureate Education (Producer). (2016). Dummy variables [Video file]. Baltimore, MD: Author.
Note: This media program is approximately 12 minutes.
In this media program, Dr. Matt Jones demonstrates dummy variables using the SPSS software.
Advertising Expenditure A to Total Sales S in Thousands of Dollars Analysis
Requirements:Paper must be written in 3rd person.Your paper should be 4-5 pages in length (counting the title page and ref ...
Advertising Expenditure A to Total Sales S in Thousands of Dollars Analysis
Requirements:Paper must be written in 3rd person.Your paper should be 4-5 pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Statistical Package for the Social Sciences Analytics Questions
Hi,I need stepwise solutions for all the questions in the attached files. All the instructions are in the word file. SPSS ...
Statistical Package for the Social Sciences Analytics Questions
Hi,I need stepwise solutions for all the questions in the attached files. All the instructions are in the word file. SPSS is required to complete the assignments. The data for the same is in the excel files.Thanks :)
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1. ...
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1.
Chapter 16 Case Study
(Foot Locker), pages 618-619. (Start with “Supposing Foot Locker”) Hint: Use
the chi-square test of independence formula on page 610 to compute by hand or
go to: http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html (Links
to an external site.)Foot Locker in the Shoe MixFoot Locker, Inc., is the world's number one
retailer of athletic footwear and apparel. Headquartered in New York City, the
company has over 44,000 employees and 3369 retail stores in 23 countries across
North America, Europe, Australia, and New Zealand operating under such brand
names as Foot Locker, Lady Foot Locker, Kids Foot Locker, Footaction, Champs
Sports, and CCS. Foot Locker estimates that it controls about 18% of the U.S.
$15 billion athletic footwear market. The company intends to increase its share
of the worldwide market by adding additional stores and by growing its Internet
and catalog business.
In recent years, Foot Locker officials have
been rethinking the company's retail mix. Determining the shoe mix that will maximize
profits is an important decision for Foot Locker. By the year 2002, in an
effort to stock more lower-priced footwear, the company had reduced its
inventory of sneakers priced at $120 or more by 50%.
DISCUSSION
Suppose the data
presented below represented the number of unit sales (million $) for athletic
footwear in the years 2000 and 2012. Use techniques presented in this chapter
to analyze these data and discuss the business implications for Foot Locker.
Price Category
2000
2012
Less than $30
115
126
$30-less than
$40
38
40
$40-less than
$50
37
35
$50-less than
$60
30
27
$60-less than
$70
22
20
$70-less than
$85
21
20
$85-less than
$100
11
11
$100 or more
17
18
Suppose Foot Locker
strongly encourages its employees to make formal suggestions to improve the
store, the product, and the working environment. Suppose a quality auditor
keeps records of the suggestions, the persons who submitted them, and the
geographic region from which they come. A possible breakdown of the number of
suggestions over a 3-year period by employee sex and geographic location
follows. Is there any relationship between the sex of the employee and the
geographic location in terms of number of suggestions? If they are related,
what does this relationship mean to the company? What business implications
might there be for such an analysis?
Sex
Male
Female
U.S. West
29
43
U.S. South
48
20
Location
U.S. East
52
61
U.S. North
28
25
Europe
78
32
Australia
47
29
3.
16.1
The Financial
database contains seven different types of companies. These seven are denoted
by the variable Type. Use a chi-square goodness-of-fit test to determine
whether the seven types of companies are uniformly distributed in this
database.
4.
16.2
In the Manufacturing
database, is the Value of Industrial Shipments (a four-category variable)
uniformly distributed across the database?
5.
16.3
Use a chi-square
test of independence to determine whether Control is independent of Service
in the Hospital database. Comment on the results of this test.
6.
16.4
In the Consumer
database, is Location independent of Region? Use a chi-square test of
independence to answer the question.
2.
Click this link
http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html
Input '6' for number of rows and '2' for number of columns,
click 'submit', then you will see a new page with blank cells, type the data in
the given problem into those cells, then click 'Calculate now' to see the
results.
Interpret the
results.
For supplemental file, click on the following link: BUS6780_M5HomeworkAssignment
#2.docx
3.
Chapter 12 Case
Study (Caterpillar), pages 471-472, question 1 only. Use an alpha of
.05. You need to submit your supporting formula work or work in
Excel.
The United States Department of Agriculture
(USDA), in conjunction with the Forest Service, publishes information to assist
companies in estimating the cost of building a temporary road for such
activities as a timber sale. Such roads are generally built for one or two
seasons of use for limited traffic and are designed with the goal of
reestablishing vegetative cover on the roadway and adjacent disturbed area
within ten years after the termination of the contract, permit, or lease. The
timber sale contract requires out sloping, removal of culverts and ditches, and
building water bars or cross ditches after the road is no longer needed. As
part of this estimation process, the company needs to estimate haul costs. The
USDA publishes variable costs in dollars per cubic-yard-mile of hauling dirt
according to the speed with which the vehicle can drive. Speeds are mainly
determined by the road width, the sight distance, the grade, the curves and the
turnouts. Thus, on a steep, narrow, winding road, the speed is slow; and on a
flat, straight, wide road, the speed is faster. Shown below are data on speed,
cost per cubic yard for a 12 cubic yard end-dump vehicle, and cost per cubic
yard for a 20 cubic yard bottom-dump vehicle. Use these data and simple
regression analysis to develop models for predicting the haul cost by speed for
each of these two vehicles. Discuss the strength of the models. Based on the
models, predict the haul cost for 35 mph and for 45 mph for each of these
vehicles.
SPEED (MPH)
HAUL COST
12-CUBIC-YARD END-DUMP VEHICLE $ PER CUBIC YD.
HAUL COST
20-CUBIC-YARD BOTTOM-DUMP VEHICLE $ PER CUBIC YD.
10
$2.46
$1.98
15
$1.64
$1.31
20
$1.24
$0.98
25
$0.98
$0.77
30
$0.82
$0.65
40
$0.62
$0.47
50
$0.48
$0.40
Earn money selling
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