The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Usethe sample data to construct a scatterplot. Use the first variable for the x-axis. Based on thescatterplot, what do you conclude about a linear correlation?Weight (lb)Highway (mpg)Which scatterplot below shows the data?A.40-20+200050002850 3055 3440343229Weight (lb)GB.40-20-20005000Weight (lb)4135 43552523C.20+20005000Weight (lb)2475 34253630Is there a linear relationship between weight and highway mileage?O A. Yes, as the weight increases the highway mileage increases.B. No, there appears to be a relationship, but it is not linear.C. Yes, as the weight increases the highway mileage decreases.D. No, there appears to be no relationship.D.20-20005000Weight (lb)Q

The data shows the weights and highway mileage amounts for seven automobiles.

Answered: The table lists weights (pounds) and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

EQuestion Help The ages (in years) of 10 men and their systolic blood pressures (in millimeters of mercury) are shown in the attached data table with a sample correlation coefficient r of 0.899. Remove the data entry for the man who is 50 years old and has a systolic blood pressure of 200 millimeters of mercury from the data set and find the new correlation coefficient. Describe how this affects the correlation coefficient r. Use technology E Click the icon to view the data set. The new correlation coefficient r gets stronger, going from 0.899 to (Round to three decimal places as needed.) Data Table Age, x Systolic blood pressure, y 16 109 26 121 38 141 46 131 50 200 65 182 69 198 More 32 129 56 175 Enter your answer in the answer box 119 23
Based on the data below, answer the following question: Draw a scatter diagram that highlights the relationship between Local Tuition and Students per Faculty. Find out the correlation coefficient between Local Tuition and Students per Faculty. (Keep 2 decimal places.) Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170…
The following graph plots data for tax per gallon and internal miles.Carefully explain what the graph is about, and what it captures. What are the limitations of the correlation and what can a researcher do toovercome these?
I. Background The Food and Drug Administration (FDA) tries to find out whether there is a relation between the number of years people smoked and the percentage of lung damage. FDA asks you for your help to find it out. You interviewed twenty people who have smoked and obtained the following data. II. Technical report: a) Draw a scatter plot. b) Based on the scatter plot, explain whether the number of years and the percentage of lung damage are correlated. If they are correlated, discuss the strength of correlation, and the direction (positive or negative). c) Find the correlation coefficient r. Explain what r implies. d) Choose your own significance level a (1 suggests 0.1, 0.05 or 0.01). State and test the hypothesis. Explain what your findings mean. e) Do your observations in part (b) agree to the results from part (c) and (d)? Explain f) Find the regression line equation. Explain what the line implies. g) Draw the regression line on your scatter plot. h) A man has…
Use this dataset for your analysis software.Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Cost-to-Charge Ratio Hospital OutpatientCare InpatientCare 1 62 80 2 66 76 3 63 75 4 51 62 5 75 100 6 65 88 7 56 64 8 45 50 9 48 54 10 71 83 11 54 100 The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes or No (b) Is the observation for Hospital 11 an outlier? Yes or No (c) Is the observation for Hospital 5 an influential observation? Yes or No (d) Is the observation for Hospital 5 an outlier? Yes or No
6 Based on the scatter plot below, what is the best guess for the value of the correlation? Y 10 8 10 1 0.284 0.965 -1 -0.965 12 144 x 16 18 20 20
Solve and explain please. Thanks
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Below is a box plot showing the ages of actors and actresses. Ages of Oscar Winning Actors from 1975 to 2004 Female E Male 20 40 60 80 100 Age Which has a higher median? data is needed to tell both have the same median actors O actresses
Answer clearly
Given the scatter plot shown, determine if the correlation is positive, negative, or if there is no relative correlation. Correlation for this scatter plot: Select an answer
Please give me answer immediately.

SEE MORE QUESTIONS

Recommended textbooks for you

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

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

SEE MORE TEXTBOOKS