Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)9.11146.412108136.425.747.117.818.846.085.398.157.466.7612.74yClick here to view a table of critical values for the correlation coefficient.The linear correlation coefficient is r=(Round to three decimal places as needed.)Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation betweenthe two variables. Choose the correct answer below.O A. There is insufficient evidence to support the claim of a linear correlation between the two variables.B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.C. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.D. There is sufficient evidence to support the claim of a linear correlation between the two variables.c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below.A. The scatterplot does not reveal a perfect straight-line pattern, and contains one outlier.O B. The scatterplot reveals a perfect straight-line pattern and does not contain any outliers.C. The scatterplot reveals a perfect straight-line pattern, except for the presence of one outlier.O D. The scatterplot does not reveal a perfect straight-line pattern. Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)8139.11146.412X107.117.818.846.085.398.156.425.74y7.466.7612.74Click here to view a table of critical values for the correlation coefficient.a. Construct a scatterplot. Choose the correct graph below.O A.Ов.OC.O D.Ay16+Ay16-Ay16-Ay16-12-12-12-12-8-8-8-8-44.44.4812 1648.12 164812 164 812 16b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.The linear correlation coefficient is r=(Round to three decimal places as needed.)Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation betweenthe two variables. Choose the correct answer below.pon the tue uerichloa

Correlation Coefficient The correlation is a measure of how strong a connection exists between two…

Answered: Use the given data set to complete…

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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Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 9. 11 14 4 12 7 y 7.45 6.77 12.73 7.11 7.81 8.84 6.08 5.39 8.16 6.41 5.72 Click here to view a table of critical values for the correlation coefficient. Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. O C. There is sufficient evidence to support the claim of a linear correlation between the two variables. O D. There is insufficient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing…
(Use alpha equals0.05.) a. Construct a scatterplot. b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! X 3 y 36.89 4 32.82 5 31.45 6 26.18 7 24.11 8 22.04 9 16.87 10 14.1 T= Question Help: Video Check Answer
Perform rank correlation analysis on the following data set: x y -5 1.9 -4 0.9 -3.25 0.7 -2.55 -0.5 -1.85 -1.2 -0.9 -1.7 5.5511151231258E-17 0.7 0.8 1.5 1.55 1.6 2.35 -0.1 3.3 0.8 4.1 -1.1 5.1 -0.9 5.8 -0.8 6.7 0.7 What is the rank correlation coefficient? (Round to three decimal places.) What is the critical rho value at a 0.01 significance? Do we have correlation? Yes, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. No, the rank correlation coefficient is larger (in absolute value) than the critical rho value. No, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. Yes, the rank correlation coefficient is larger (in absolute value) than the critical rho value.
Use the data values in the table below to calculate the correlation between the variables x and y.Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. x y 3 19.13 4 21.24 5 19.65 6 18.36 7 17.57 8 18.98 9 16.99 10 16.7 Give your answer to three decimal places. __?__
UnattemptedQuestion 1Expand PreviousNext The data below was collected from manufacturer advertisements of their vehicles' horsepower and highway gas mileage (mpg.). Use this data to answer the following questions. x 158 250 340 350 390 190 220 y 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). If there is a linear correlation, write the correlation coefficient below if there is a linear correlation, write the regression equation below. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225 If there is a linear correlation, what percentage of variation in highway gas mileage (mpg) can be explained by horsepower?
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 14 6 4 12 7 y 9.15 8.14 8.74 8.77 9.25 8.09 6.12 3.11 9.14 7.25 4.73 Click here to view a table of critical values for the correlation coefficient. Table of Critical Values a. Construct a scatterplot. Choose the correct graph below. O A. ов. O D. レi Ay 10- Ay 10- Ay 10- 8- 8- a = .05 a = 01 8- 6- 6- 6- 4 .950 .990 4- 4- 4- .878 .959 2- ..... 2- 2- ......... 6 .811 .917 0- 12 16 12 16 .754 .875 12 16 8 .707 .834 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. 9 .666 .798 10 .632 .765 The linear correlation coefficient is r=. 11 .602 .735 (Round to three decimal places as needed.) 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17 .482 .606 18 .468 .590 19 .456 .575 20 .444 .561 25 .396 .505 30 .361 .463 35 .335 .430 40 .312 .402 45 .294 .378 50 .279 .361 60…
Use the data values in the table below to calculate the correlation between the variables x and y. Hint: Use your calculator to do this, you do not need to compute this by hand. y 4 19.34 5 19.35 6 20.86 7 24.57 8 23.08 9 23.89 10 28.6 Give your answer to three decimal places.
Based on the data shown below, calculate the correlation coefficient (to three decimal places) X y 87 82.8 7 87.8 8 88.6 9. 86.6 10 91.8 11 91.8 12 88.4 Question Help: DVideo MMessage instructor Submit Question 目 Chp -> Co & 5 7 60 96 4
Use the given data set to complete parts (a) through (c) below. (Use a =0.05.) 10 8 13 9. 11 14 4 12 7 y 9.15 8.14 8.74 8.77 9.25 8.11 6.12 3.09 9.14 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. Ay 10- Ay 10- 本Y 10- y 10- 8- 8- 6- 8- 8- 6- 6- 6- 4- 4- 4 4. 2- 2- 2- 2- 0- 4 8 12 16 4 8 12 16 4 18 12 16 4 8. 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)
R =?

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