The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. 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? 2775 2815 3610 Weight (Ib) Highway (mpg) 3900 4050 2385 3370 0 35 33 29 26 24 38 30 Which scatterplot below shows the data? OA. OB Oc. D. 40- 40 40 401 20+ 2000 Weight (Ib) 20+ 2000 5000 Weight (b) 20 2000 20+ 2000 Weight (Ib) 5000 5000 5000 Weight (Ib) Highway (mpg) ... (5du) iab

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. 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? 2775 2815 3610 Weight (Ib) Highway (mpg) 3900 4050 2385 3370 0 35 33 29 26 24 38 30 Which scatterplot below shows the data? OA. OB Oc. D. 40- 40 40 401 20+ 2000 Weight (Ib) 20+ 2000 5000 Weight (b) 20 2000 20+ 2000 Weight (Ib) 5000 5000 5000 Weight (Ib) Highway (mpg) ... (5du) iab

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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…
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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…
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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?
Enrique wishes to determine if there is a linear correlation between the age of a driver and the death rate for car crashes. The following table represents the age of a driver and the death rate of drivers for car crashes in the same age category per 100 Million Miles Driven. Use a significance level of a = 0.05. Do not round between calculation steps; only round final answers. Driver's Age (x) 17 21 30 32 35 36 47 63 74 Death Rate (y) 5.6 6.6 5.9 5.1 5 5.6 4.9 4.1 3.7 10 10 20 30 40 60 70 90 100 50 Driver Age 80 Death Rate
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You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…