The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlationbetween the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linearcorrelation between the two variables. Use a significance level of a 0.01. Does it appear that riders base their tips on the time of the ride?Click here for information on the taxi rides.Construct a scatterplot. Choose the correct graph below.O A.25035Ride time (minutes)Determine the linear correlation coefficient.The linear correlation coefficient is r=(Round to three decimal places as needed.)Taxi dataAmount ($)OC.B.25૨25-a0+35 GRide time (minutes)0+035 GRide time (minutes)DistanceTimeFareTip0.68 2.45 8.51 12.676.00 18.00 31.006.30 14.30 31.731.89 4.29 2.981.651.02 1.320.4927.0011.008.00 8.002.0036.809.807.80 7.804.800.001.962.34 0.000.0025-035Ride time (minutes)

To make a scatter plot diagram, you can input data in Excel and click the insert scatter plot tab…

Answered: The table below includes data from taxi…

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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Similar questions

The U.S. News & World Report collects information on colleges and universities including tuition cost and average starting salary of graduates. The correlation between these two variables is weak but positive. Suppose a particular college is at the 40th percentile of both tuition and average starting salary. Relative to all colleges at the 40th percentile of tuition, this means that graduates from this college...
A teacher records the scores on a midterm quiz and on the final exam for 8 of her students. She finds that there is a correlation of .896 between the two scores. Calculate the coefficient of determination.
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of linear correlation coefficient r, and find the P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 66.0 404.0 1567.01131.0 274.0 254.0 111.0 156.0 33.0 29 Justice Salary 44 90 56 47 62 25 26 17 Construct a scatterplot. Choose the correct graph below. O A. O B. C. OD. AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- 50- 50- 50- 50- 0- 800 1600 1600 800 Court Income 800 1600 800 1600 Court Income Court Income Court Income The linear correlation coefficient is r= (Round to three decimal places as needed.)
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of α = 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) A. Height (cm) 200- 160- 25 18 Shoe Print (cm) 35 30.6 26.2 181.9 30.6 25.9 27.0 174.8 188.8 The linear correlation coefficient is r = (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P H₁: p (Type integers or decimals. Do not round.) 31.0 31.4 26.1 182.1 The test statistic is t = 0. (Round to two decimal places as needed.) The P-value is (Round to three…
Provide an appropriate response Given the length of a Human’s femur, x, and the length of a human’s humerus, y, would you expect a positive correlation, negative correlation, or no correlation?
Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) Tip (dollars) 111.77 O 31.80 5.46 52.94 85.82 102.16 60.17 6.07 15.82 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. OA. ов. OC. OD. 25 25- 25- 25- 0- 30 120 30 120 0- 30 120 0- 30 120 Bill Amount (S) Bill Amount (S) Bill Amount (S) Bill Amount (S)
Identify the true statements about the correlation coefficient, ?r. The sign of ?r describes the direction of the association between two variables. When the data points in a scatter plot fall closely around a straight line that is either increasing or decreasing, the correlation between the two variables is strong. If two variables are negatively correlated, when one variable increases, the other variable also increases. A correlation coefficient of zero means that no relationship exists between the two variables. The correlation coefficient is not affected by outliers. The value of ?r ranges from negative one to positive one.
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 64.0 402.0 1566.0 1131.0 272.0 252.0 112.0 152.0 | 31.0 Justice Salary 29 44 94 56 44 62 24 25 18 B. AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- 50- 50- 50- 50- 0+ 0+ 0- 0- 800 1600 1600 1600 800 Court Income 800 Court Income 1600 800 Court Income Court Income The linear correlation coefficient r is (Round to three decimal places as needed.) The test statistic t is. (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is than…
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income Justice Salary 66.0 403.0 1568.0|1131.0 272.0| 253.0 111.0 150.0 32.0 e 18 31 46 94 54 45 60 26 27 The linear correlation coefficient is r=| (Round to three decimal places as needed.) The test statistic is t=. (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there V sufficient evidence to support the claim that there is a linear correlation between court incomes and justice salaries for a significance level of a = 0.05.
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a= 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income Justice Salary 66.0 406.0 1566.0 1132.0 270.0 250.0 111.0 156.0 34.0 e 61 30 44 94 56 46 24 25 17 What are the null and alternative hypotheses? O A. Ho: p#0 O B. H,: p=0 H,:p>0 H,: p=0 O C. Ho: p=0 H,:p 800 Court Income 800 1600 800 1600 1600 800 1600 Court Income Court Income Court Income The linear correlation coefficient is r= (Round to three decimal places as needed.)
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 65.0 403.0 1567.01132.0 274.0 253.0 110.0 153.0 34.0 Justice Salary 29 46 94 58 45 60 25 26 19 Construct a scatterplot. Choose the correct graph below. O A. В. Oc. O D. AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- AJustice Salary 100- 50- 50- 50- 50- 0- 0- 0- 0- 800 1600 800 1600 800 1600 800 1600 Court Income Court Income Court Income Court Income The linear correlation coefficient r is (Round to three decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value is than…
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of α = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. Best Actor (years) A. 70- 20+ CHIT • 20 70 Best Actress (years) The linear correlation coefficient is r = (Round to three decimal places as needed.) B. Best Actor (years) 70- 20- IDI ... ● 20 70 Best Actress (years) Best Actress 28 30 Best Actor 41 37 O Best Actor (years) Print 70- 20+ Best Actresses and Best Actors 29 61 33 32 36 43 49 50 20 70 Best Actress (years) 46 64 29 60 23 53 40 56 Done 43 43 57 32 n X Best Actor (years) 70- 20+ Mid 18 ● ● 20 70 Best…

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