Elementary Statistics
12th Edition
ISBN: 9780321836960
Author: Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 14.2, Problem 11BSC
To determine
To construct: The
To describe: A suggestion using the obtained results.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The annual revenue of Amazon is given in the table below (sourceLinks to an external site.).
Year
Amazon Annual Revenue(Billions of US dollars)
2020
386.064
2019
280.522
2018
232.887
2017
177.866
2016
135.987
2015
107.006
2014
88.988
2013
74.452
2012
61.093
2011
48.077
2010
34.204
In what year will the estimated revenue of Amazon be 1,357 billion US dollars? Note: I am asking for the year, not the number of years since 2010. This may happen between two years. Round to the nearest year.
The following table shows the average monthly distance traveled (in billion miles) by vehicles on urban highways for five
different years.
Urban Highways - Average Monthly Distance Traveled by Vehicles (Billion Miles)
Years Jan
Year 1 4.22
Year 2 4.31
Year 3 4.38
Year 4 4.45
Year 5 4.51
Feb
Mar Apr May Jun
July Aug Sep
Oct
Nov
Dec
5.32
5.21
5.12
4.92
4.49
4.55
4.49
4.44| 4.39
4.37 4.35
4.68 | 4.74 | 4.79
4.88
4.92
5.44
5.34
5.24
4.98
4.59
4.68
4.65
4.61
5.51
5.36
4.63
4.85 4.89
4.98
5.01
5.41
4.71
4.78
4.82
5.59
5.5
5.41
4.72
4.78
4.79
4.82
5.06
5.11
5.65
5.62
5.49
5.12
4.8
4.88
4.82
4.95
5.12
5.22 5.44
a. Construct a time series plot. What type of pattern exists in the data?
b. Use a multiple regression model to develop an equation to account for seasonal effects and any linear trend in the data.
To capture seasonal effects, use the dummy variables Jan = 1 if month is January, 0 otherwise; Feb = 1 if month is
February, 0 otherwise; ...; Nov = 1 if month is November, 0 otherwise; and…
The following table shows the average monthly distance traveled (in billion miles) by vehicles on urban highways for five different years.
Urban Highways - Average Monthly Distance Traveled by Vehicles (Billion Miles)
Years
Jan
Feb
Mar
Apr
May
Jun
July
Aug
Sep
Oct
Nov
Dec
Year 1
4.22
5.32
5.21
5.12
4.92
4.49
4.55
4.49
4.44
4.39
4.37
4.35
Year 2
4.31
5.44
5.34
5.24
4.98
4.59
4.68
4.65
4.61
4.68
4.74
4.79
Year 3
4.38
5.51
5.41
5.36
4.98
4.63
4.71
4.78
4.82
4.88
4.85
4.89
Year 4
4.45
5.59
5.5
5.41
5.01
4.72
4.78
4.79
4.82
4.92
5.06
5.11
Year 5
4.51
5.65
5.62
5.49
5.12
4.8
4.88
4.82
4.95
5.12
5.22
5.44
a. Construct a time series plot. What type of pattern exists in the data?
Chapter 14 Solutions
Elementary Statistics
Ch. 14.2 - Product Specs Table 14-1 lists process data...Ch. 14.2 - Prob. 2BSCCh. 14.2 - Prob. 3BSCCh. 14.2 - Prob. 4BSCCh. 14.2 - Prob. 5BSCCh. 14.2 - Prob. 6BSCCh. 14.2 - Prob. 7BSCCh. 14.2 - Prob. 8BSCCh. 14.2 - Prob. 9BSCCh. 14.2 - Prob. 10BSC
Ch. 14.2 - Prob. 11BSCCh. 14.2 - Prob. 12BSCCh. 14.2 - Prob. 13BBCh. 14.2 - Prob. 14BBCh. 14.3 - Prob. 1BSCCh. 14.3 - Prob. 2BSCCh. 14.3 - Prob. 3BSCCh. 14.3 - Interpreting a Control Chart After constructing a...Ch. 14.3 - Prob. 5BSCCh. 14.3 - Prob. 6BSCCh. 14.3 - Prob. 7BSCCh. 14.3 - Prob. 8BSCCh. 14.3 - Prob. 9BSCCh. 14.3 - Prob. 10BSCCh. 14.3 - Control Charts for p. In Exercises 512, use the...Ch. 14.3 - Prob. 12BSCCh. 14.3 - Prob. 13BBCh. 14 - Prob. 1CQQCh. 14 - Prob. 2CQQCh. 14 - Prob. 3CQQCh. 14 - Prob. 4CQQCh. 14 - Prob. 5CQQCh. 14 - Prob. 6CQQCh. 14 - Prob. 7CQQCh. 14 - Prob. 8CQQCh. 14 - Prob. 9CQQCh. 14 - Examine the following p chart for defective...Ch. 14 - Prob. 1RECh. 14 - Prob. 2RECh. 14 - Prob. 3RECh. 14 - Energy Consumption. Exercises 15 refer to the...Ch. 14 - Prob. 5RECh. 14 - Prob. 1CRECh. 14 - Prob. 2CRECh. 14 - Prob. 3CRECh. 14 - Prob. 4CRECh. 14 - Prob. 5CRECh. 14 - Prob. 6CRECh. 14 - Prob. 7CRECh. 14 - Prob. 8CRECh. 14 - Prob. 9CRECh. 14 - Prob. 10CRECh. 14 - FROM DATA TO DECISION Critical Thinking: Are the...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- The following table presents data on the number of iPhones sold (in millions) during the last 6 years. Year Sales 2008 10 2009 20 2010 40 2011 60 2012 100 2013 120 Using your calculator, what is the value of the forecast for Sales in year 2014 using an AR(1) model? Select one: O a. 89.53 O b. 151.25 O c. 128.75 O d. 139.33 e. 155.50arrow_forwardPark City, Utah was settled as a mining community in 1870 and experienced growth until the late 1950s when the price of silver dropped. In the past 40 years, Park City has experienced new growth as a thriving ski resort. The population data for selected years between 1900 and 2009 are given below. Park City, Utah Year 1900 1930 1940 1950 1970 1980 1990 2000 2009 Population 3759 4281 3739 2254 1193 2823 4468 7341 11983 (a) What behavior of a scatter plot of the data indicates that a cubic model is appropriate? O a change in concavity and neither a relative maximum nor a relative minimum O a change in concavity and both a relative maximum and a relative minimum O no change in concavity and an absolute minimum O no change in concavity and an absolute maximum (b) Align the input so that t = 0 in 1900. Find a cubic model for the data. (Round all numerical values to three decimal places.) p(t) = (c) Numerically estimate the derivative of the model in 2007 to the nearest hundred. p'(107) =…arrow_forwardNonearrow_forward
- I don’t know how to solve this question.arrow_forwardQ1.1 The table below contains information on 48 houses: the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Table: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192 240000 12064 240000 11648 225000 12480 289000 11648 270000 12896…arrow_forwardYou collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?arrow_forward
- The factors are A = furnace temperature, B = heating time, C = transfer time, D = hold down time, and E = quench oil temperature. The data are shown below: (1) 7.501 7.154 7.68 ad 7.779 8.043 7.806 bd 7.196 7.203 7.654 ab 7.301 7.676 7.333 cd 7.563 7.654 7.611 ac 7.394 7.218 7.481 bc 7.197 7.334 7.522 abcd 7.196 7.57 7.528 e 7.948 7.886 7.813 ade 7.75 7.715 8.019 bde 7.857 7.672 7.157 abe 7.299 7.826 7.338 cde 7.83 7.37 7.585 аce 7.787 7.149 7.26 bce 7.995 7.981 7.852 abcde 7.731 7.73 7.405 a. Write out the alias structure for this design. What is the resolution of this design? b. Analyze the data. What factors are significant? c. Analyze the residuals of the data. Give any comments on your findings.arrow_forwardTable I shows the mumbars of usual residents in the age range 0 to 4 in 15 Local Authorites (LAS) in 2001 and 2011. The table also shows the increase in the numbers in his age group, and the same increase as a percentage 2001 Bolton 2011 Increase 16779 % Increase 18765 Bury 1986 11 117 11 84% 12235 Knowsley 1118 9454 10.06 9121 Liverpool -333 24840 26009 -3.52% Manchester 1259 24693 5.07% 36413 Oldham 11 720 15196 47.46% Rochdale 16491 1 295 13771 8.52% Salford 14754 983 12529 7.14% Sefton 16255 3726 14896 29.74% 14601 St. Helens Stockport -295 10 083 -1.98% 10269 185 16457 L84% Tameside 17342 885 12803 538% Trafford 14439 1636 11 971 12.78% 14870 Wigan 2899 17561 19 681 24.22% Wirral 2120 17475 18514 12.07% 1039 3.95% Table 1 Fig. 2 shows the increase in each LA in raw numbers, and Fig 3 shows the percentage increasa in each LA 14000. 12000- 10000- Increase 8000- 6000- 4000- 2000- Knowley Liverpool Bohon Bhury St. Helea Stockporn Tameside Traflord Oldham Salford Rochdale Sefton…arrow_forward2.5 2.0 15 1.0 0.5 Incarcerated Americans 1920-2014 Prison Jail 0 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Year Juvenile Detention 6. Describe the trend depicted in this ch 7. What impact do you think this trend has had on the public defender system? depicarrow_forward
- Car manufacturers produced a variety of classic cars that continue to increase in value. Suppose the following data is based upon the Martin Rating System for Collectible Cars, and shows the rarity rating (1–20) and the high price ($1,000) for 15 classic cars. Model Rating Price ($1,000) A 13 70.0 B 18 975.0 C 15 102.5 D 17 475.0 E 18 1,600.0 F 19 2,675.0 G 19 4,000.0 H 16 375.0 I 16 250.0 J 17 375.0 K 14 37.0 L 16 100.0 M 17 165.0 N 19 1,275.0 O 18 400.0 (a) Develop a scatter diagram of the data using the rarity rating as the independent variable and price as the dependent variable. -A scatter diagram has 15 points. The horizontal axis ranges from 12 to 20 and is labeled: Rating. The vertical axis ranges from 0 to 4500 and is labeled: Price. Moving from left to right, the first point is located at approximately (13, 100) and the next 9 points stay fairly clustered between 0 and 500 on the vertical axis. The next 5 points move up rapidly,…arrow_forwardThe population of a certain city is shown in the following table during 1910 to 1950.Year 1910 1920 1930 1940 1950Population (in thousands) 23 45 30 48 60 Find the population increase betweenI. 1918 to 1920II. 1932 to 1936III. 1947 to 1950arrow_forwardThe following table gives information on the Consumer Price Index (Base = 1982–84) and the monthly take-home pay of Bill Martin, an employee at Ford Motor Corporation, from 1982−84 and 2018. Consumer Price Index Mr. Martin’s Monthly Year (1982−84 = 100) Take-Home Pay 1982−84 100.0 $ 600 2018 251.107 7,000arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY