ELEMENTARY STATS. 18 WEEK ACCESS CODE
13th Edition
ISBN: 9780135900826
Author: Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 2.4, Problem 9BSC
Linear
9. Using the data from Exercise 5 “Brain Volume and IQ,” the linear correlation coefficient is r = 0.127.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)
Sports Diameters (cm), circumferences (cm), and volumes (cm3) from balls used in different sports are listed in the table below. Is there sufficient evidence to conclude that there is a linear correlation between diameters and circumferences? Does the scatterplot confirm a linear association?
Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)
Lemons and Car Crashes Listed below are annual data for various years. The data are weights (metric tons) of lemons imported from Mexico and U.S. car crash fatality rates per 100,000 population [based on data from “The Trouble with QSAR (or How I Learned to Stop Worrying and Embrace Fallacy),” by Stephen Johnson, Journal of Chemical Information and Modeling, Vol. 48, No. 1]. Is there sufficient evidence to conclude that there is a linear correlation between weights of lemon imports from Mexico and U.S. car fatality rates? Do the results suggest that…
Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)
POTUS Media periodically discuss the issue of heights of winning presidential candidates and heights of their main opponents. Listed below are those heights (cm) from several recent presidential elections (from Data Set 15 “Presidents” in Appendix B). Is there sufficient evidence to conclude that there is a linear correlation between heights of winning presidential candidates and heights of their main opponents? Should there be such a correlation?
Chapter 2 Solutions
ELEMENTARY STATS. 18 WEEK ACCESS CODE
Ch. 2.1 - McDonalds Dinner Service Times Refer 10 the...Ch. 2.1 - McDonalds Dinner Service Times Refer to the...Ch. 2.1 - Relative Frequency Distribution Use percentages to...Ch. 2.1 - Whats Wrong? Heights of adult males are known to...Ch. 2.1 - In Exercise 58, identify the class width, class...Ch. 2.1 - In Exercises 58, identify the class width, class...Ch. 2.1 - In Exercises 58, identify the class width, class...Ch. 2.1 - In Exercises 58, identify the class width, class...Ch. 2.1 - Normal Distributions. In Exercises 9 and 10, using...Ch. 2.1 - Normal Distributions. In Exercises 9 and 10, using...
Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - Burger King Dinner Service Times Refer to Data Set...Ch. 2.1 - Wendys Lunch Service Times Refer to Data Set 25...Ch. 2.1 - Wendys Dinner Service Times Refer to Data Set 25...Ch. 2.1 - Analysis of Last Digits Heights of statistics...Ch. 2.1 - Analysis of Last Digits Weights of respondents...Ch. 2.1 - Oscar Winners Construct one table (similar to...Ch. 2.1 - Blood Platelet Counts Construct one table (similar...Ch. 2.1 - Cumulative Frequency Distributions. In Exercises...Ch. 2.1 - Cumulative Frequency Distributions. In Exercises...Ch. 2.1 - Categorical Data. In Exercises 23 and 24, use the...Ch. 2.1 - Categorical Data. In Exercises 23 and 24, use the...Ch. 2.1 - Large Data Sets. Exercises 2528 involve large sets...Ch. 2.1 - Large Data Sets. Exercises 2528 involve large sets...Ch. 2.1 - Large Data Sets. Exercises 2528 involve large sets...Ch. 2.1 - Large Data Sets. Exercises 2528 involve large sets...Ch. 2.1 - Interpreting Effects of Outliers Refer to Data Set...Ch. 2.2 - Heights Heights of adult males are normally...Ch. 2.2 - More Heights The population of heights of adult...Ch. 2.2 - Blood Platelet Counts Listed below are blood...Ch. 2.2 - Blood Platelet Counts If we collect a sample of...Ch. 2.2 - Interpreting a Histogram. In Exercises 58, answer...Ch. 2.2 - Prob. 6BSCCh. 2.2 - Interpreting a Histogram. In Exercises 58, answer...Ch. 2.2 - Prob. 8BSCCh. 2.2 - Constructing Histograms. In Exercises 9-16,...Ch. 2.2 - Constructing Histograms. In Exercises 9-16,...Ch. 2.2 - Burger King Lunch Service Times Use the frequency...Ch. 2.2 - Burger King Dinner Service Times Use the frequency...Ch. 2.2 - Wendys Lunch Service Times Use the frequency...Ch. 2.2 - Wendys Dinner Service Times Use the frequency...Ch. 2.2 - Analysis of Last Digits Use the frequency...Ch. 2.2 - Analysis of Last Digits Use the frequency...Ch. 2.2 - Back-to-Back Relative Frequency Histograms When...Ch. 2.2 - Interpreting Normal Quantile Plots Which of the...Ch. 2.3 - Body Temperatures Listed below are body...Ch. 2.3 - Voluntary Response Data If we have a large...Ch. 2.3 - Ethics There are data showing that smoking is...Ch. 2.3 - CVDOT Section 2-1 introduced important...Ch. 2.3 - Dotplots. In Exercises 5 and 6, construct the...Ch. 2.3 - Diastolic Blood Pressure Listed below are...Ch. 2.3 - Stem plots. In Exercises 7 and 8, construct the...Ch. 2.3 - Stemplots. In Exercises 7 and 8, construct the...Ch. 2.3 - Time-Series Graphs. In Exercises 9 and 10,...Ch. 2.3 - Time-Series Graphs. In Exercises 9 and 10,...Ch. 2.3 - Pareto Charts. In Exercises 11 and 12 construct...Ch. 2.3 - Pareto Charts. In Exercises 11 and 12 construct...Ch. 2.3 - Pie Charts. In Exercises 13 and 14, construct the...Ch. 2.3 - Pie Charts. In Exercises 13 and 14, construct the...Ch. 2.3 - Frequency Polygon. In Exercises 15 and 16,...Ch. 2.3 - Frequency Polygon. In Exercises 15 and 16,...Ch. 2.3 - Self-Driving Vehicles In a survey of adults,...Ch. 2.3 - Deceptive Graphs. In Exercises 17-20, identify how...Ch. 2.3 - Deceptive Graphs. In Exercises 17-20, identify how...Ch. 2.3 - Deceptive Graphs. In Exercises 17-20, identify how...Ch. 2.3 - Expanded Stemplots A stemplot can be condensed by...Ch. 2.4 - Linear Correlation In this section we use r to...Ch. 2.4 - Causation A study has shown that there is a...Ch. 2.4 - Scanerplot What is a scatterplot and how does it...Ch. 2.4 - Estimating r For each of the following, estimate...Ch. 2.4 - Scatterplot. In Exercises 5-8, use the sample data...Ch. 2.4 - Scatterplot. In Exercises 5-8, use the sample data...Ch. 2.4 - Scatterplot. In Exercises 5-8, use the sample data...Ch. 2.4 - Scatterplot. In Exercises 5-8, use the sample data...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Using the data from Exercise 8 Heights of Fathers...Ch. 2.4 - Prob. 13BBCh. 2.4 - P-Values In Exercises 13-16, write a statement...Ch. 2.4 - P-Values In Exercises 13-16, write a statement...Ch. 2.4 - P-Values In Exercises 13-16, write a statement...Ch. 2 - Cookies Refer to the accompanying frequency...Ch. 2 - Cookies Using the same frequency distribution from...Ch. 2 - Cookies Using the same frequency distribution from...Ch. 2 - Cookies A stemplot of the same cookies summarized...Ch. 2 - Computers As a quality control manager at Texas...Ch. 2 - Distribution of Wealth In recent years, there has...Ch. 2 - Health Test In an investigation of a relationship...Ch. 2 - Lottery In Floridas Play 4 lottery game, four...Ch. 2 - Seatbelts The Beams Seatbelts company...Ch. 2 - Seatbelts A histogram is to be constructed from...Ch. 2 - Frequency Distribution of Body Temperatures...Ch. 2 - Histogram of Body Temperatures Construct the...Ch. 2 - Dotplot of Body Temperatures Construct a dotplot...Ch. 2 - Stemplot of Body Temperatures Construct a stemplot...Ch. 2 - Body Temperatures Listed below are the...Ch. 2 - Environment a. After collecting the average (mean)...Ch. 2 - Its Like Time Do This Exercise In a Marist survey...Ch. 2 - Whatever Use the same data from Exercise 7 to...Ch. 2 - In Exercises 1-6 refer to the data below, which...Ch. 2 - Frequency Distribution For the frequency...Ch. 2 - In Exercises 1-6, refer to the data below, which...Ch. 2 - In Exercises 1-6, refer to the data below, which...Ch. 2 - In Exercises 1-6, refer to the data below, which...Ch. 2 - Data Type a. The listed playing times are all...Ch. 2 - It was stated in this chapter that the days of...Ch. 2 - Fast Food Restaurant Drive-Through Service Times:...
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
- Noise and Intelligibility Audiologists study the intelligibility of spoken sentences under different noise levels. Intelligibility, the MRT score, is measured as the percent of a spoken sentence that the listener can decipher at a cesl4ain noise level in decibels (dB). The table shows the results of one such test. (a) Make a scatter plot of the data. (b) Find and graph the regression line. (c) Find the correlation coefficient. Is a linear model appropriate? (d) Use the linear model in put (b) to estimate the intelligibility of a sentence at a 94-dB noise level.arrow_forwardTesting for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Weighing Seals with a Camera Listed below are the overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals (based on “Mass Estimation of Weddell Seals Using Techniques of Photogrammetry,” by R. Garrott of Montana State University). The purpose of the study was to determine if weights of seals could be determined from overhead photographs. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals?arrow_forwardTesting for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Revised mpg Ratings Listed below are combined city-highway fuel economy ratings (in mi/gal) for different cars. The old ratings are based on tests used before 2008 and the new ratings are based on tests that went into effect in 2008. Is there sufficient evidence to conclude that there is a linear correlation between the old ratings and the new ratings? What do the data suggest about the old ratings?arrow_forward
- Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Pizza and the Subway The “pizza connection” is the principle that the price of a slice of pizza in New York City is always about the same as the subway fare. Use the data listed below to determine whether there is a significant linear correlation between the cost of a slice of pizza and the subway fare.arrow_forwardTesting for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Tips Listed below are amounts of bills for dinner and the amounts of the tips that were left. The data were collected by students of the author. Is there sufficient evidence to conclude that there is a linear correlation between the bill amounts and the tip amounts? If everyone were to tip with the same percentage, what should be the value of r?arrow_forwardTesting for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Old Faithful Listed below are duration times (seconds) and time intervals (min) to the next eruption for randomly selected eruptions of the Old Faithful geyser in Yellowstone National Park. Is there sufficient evidence to conclude that there is a linear correlation between duration times and interval after times?arrow_forward
- Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Manatees Listed below are numbers of registered pleasure boats in Florida (tens of thousands) and the numbers of manatee fatalities from encounters with boats in Florida for each of several recent years. The values are from Data Set 10 “Manatee Deaths” in Appendix B. Is there sufficient evidence to conclude that there is a linear correlation between numbers of registered pleasure boats and numbers of manatee boat fatalities?arrow_forwardTesting for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of α = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.) Oscars Listed below are ages of Oscar winners matched by the years in which the awards were won (from Data Set 14 “Oscar Winner Age” in Appendix B). Is there sufficient evidence to conclude that there is a linear correlation between the ages of Best Actresses and Best Actors? Should we expect that there would be a correlation?arrow_forwardApplying the Concepts and SkillsIn Exercises, we repeat data from exercises in Section 14.2. For each exercise here,a. obtain the linear correlation coefficient.b. interpret the value of r in terms of the linear relationship between the two variables in question.c. discuss the graphical interpretation of the value of r and verify that it is consistent with the graph you obtained in the corresponding exercise in Section 14.2.d. square r and compare the result with the value of the coefficient of determination you obtained in the corresponding exercise in Section 14.3.Custom Homes. Following are the size and price data for custom homes from Exercises. x 26 27 33 29 29 34 30 40 22 y 540 555 575 577 606 661 738 804 496arrow_forward
- Applying the Concepts and SkillsIn Exercises, we repeat data from exercises in Section 14.2. For each exercise here,a. obtain the linear correlation coefficient.b. interpret the value of r in terms of the linear relationship between the two variables in question.c. discuss the graphical interpretation of the value of r and verify that it is consistent with the graph you obtained in the corresponding exercise in Section 14.2.d. square r and compare the result with the value of the coefficient of determination you obtained in the corresponding exercise in Section 14.3.Corvette Prices. Following are the age and price data for Corvettes from Exercises. x 6 6 6 2 2 5 4 5 1 4 y 290.0 280.0 295 425.0 384.0 315.0 355 328 425 325arrow_forwardApplying the Concepts and SkillsIn Exercises, we repeat data from exercises in Section 14.2. For each exercise here,a. obtain the linear correlation coefficient.b. interpret the value of r in terms of the linear relationship between the two variables in question.c. discuss the graphical interpretation of the value of r and verify that it is consistent with the graph you obtained in the corresponding exercise in Section 14.2.d. square r and compare the result with the value of the coefficient of determination you obtained in the corresponding exercise in Section 14.3.Tax Efficiency. Following are the data on percentage of investments in energy securities and tax efficiency from Exercises. x 3.1 3.2 3.7 4.3 4 5.5 6.7 7.4 7.4 10.06 y 98.1 94.7 92.0 89.8 87.5 85.0 82.0 77.8 72.1 53.5arrow_forwardApplying the Concepts and SkillsIn Exercises, we repeat data from exercises in Section 14.2. For each exercise here,a. obtain the linear correlation coefficient.b. interpret the value of r in terms of the linear relationship between the two variables in question.c. discuss the graphical interpretation of the value of r and verify that it is consistent with the graph you obtained in the corresponding exercise in Section 14.2.d. square r and compare the result with the value of the coefficient of determination you obtained in the corresponding exercise in Section 14.3.Crown-Rump Length. Following are the data on age and crown-rump length for fetuses from Exercises. x 10 10 13 13 18 19 19 23 25 28 y 66 66 108 106 161 166 177 228 235 280arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
Algebra and Trigonometry (MindTap Course List)AlgebraISBN:9781305071742Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
College AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
College Algebra
Algebra
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
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