Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)108139.11144127y7.466.7712.747.117.818.846.095.398.146.435.72Click here to view a table of critical values for the correlation coefficient.a. Construct a scatterplot. Choose the correct graph below.A.В.C.D.Ay16-Ay16-Ay16-Ay16-12-12-12-12-8-8-8-8-00000000• •4-4-4-4-XXX0-0-0-48121648121648121648.1216b. 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.)of

Given information- We have given the data set.

Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 7.46 14 8.84 12 8.14 13 9 11 6 4 6.77 12.74 7.81 6.09 5.39 6.43 5.72 7.11 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. B Oc. OD. AY 16- Q 16- 16- Q 16- 12- 12- 12- 12- 8- 8 8- 8- ......... 4- 4- 4- 4- 어 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=O (Round to three decimal places as needed.)

Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 7.46 14 8.84 12 8.14 13 9 11 6 4 6.77 12.74 7.81 6.09 5.39 6.43 5.72 7.11 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. B Oc. OD. AY 16- Q 16- 16- Q 16- 12- 12- 12- 12- 8- 8 8- 8- ......... 4- 4- 4- 4- 어 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=O (Round to three decimal places as needed.)

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

The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 6 140 10 129 14 126 18 164 22 150 26 179 30 186 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation…
I need help answering some questions for my statistics class I attached a picture of the questions.
Find the linear correlation coefficient between cumulative GPA and each of ACT English score, ACT math score, and ACT composite score, for the 200 UWEC undergraduate students in the Focus Sample. GPA and ACT English score cumulative. GPA ENGLISH MATH COMP 2.39 24 28 26 3.37 21 23 24 2.63 16 25 21 2.77 16 19 19 3.79 29 28 32 3.34 23 26 23 2.81 13 14 17 3.09 18 23 22 1.91 22 18 20 2.61 19 22 20 3.17 17 23 18 3.79 26 26 26 3.14 23 24 24 2.21 23 24 23 3.12 21 18 21 3.42 33 27 29 3.25 24 20 22 2.34 25 25 24 2.76 21 21 23 1.95 22 26 23 2.59 22 22 24 3.58 27 28 26 2.67 24 28 26 2.1 17 25 22 3.1 19 18 19 2.78 23 25 23 3.76 21 28 23 3.33 27 21 23 3.28 32 26 28 2.33 24 18 21 2.45 23 21 22 3.56 24 20 23 3.13 29 30 26 4 32 25 31 3.17 23 25 24 3.03 19 25 21 2.82 19 25 21 2.89 16 20 19 3.66 25 32 29 2.43 17 18 19 3.07 26 21 25 3.48 20 28 23 3.31 22 27 25 3.63 26 27 26 2.41 16 25 21 2.93 24 22 24 3.75 20…
Using the given data to answer the below. Data Set x y 2.2 3.9 3.9 1.5 2.9 3.7 4.6 4.9 the additional data point (10.5, 9.2) Compute the linear correlation coefficient with the additional data point the linear correlation coefficient for the five pieces of data is 0.866 Explain why correlations should always be reported with scatter diagrams. Choose correct answer below. a) the scatter diagram is needed to see if the correlation coefficient is being affected by the presence of outliers. b) the scatter diagram can be used to distinguish between association and causation. c) the scatter diagram is needed to determine if the correlation is positive or negative.
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 176 10 111 14 187 18 102 22 190 26 188 30 110 Ho: ρ = 0Ha: ρ ≠ 0 Find the p-value=
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 125 10 147 14 193 18 165 22 125 26 110 30 187 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant negative linear correlation…
View table of critical values for the correlation coefficient.
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?
Use a computer or statistical calculator to calculate the correlation coefficient in parts a through c below. Cost Miles a. The table shows the approximate distance between selected cities and the approximate cost of flights between those cities. Calculate the correlation coefficient between cost and miles. 190 958 413 3095 r= (Round to three decimal places as needed.) 256 1998 90 429 436 3008 b. This table shows the same information, except that the distance was converted to kilometers by multiplying the numbers of miles by 1.609 and rounding to the nearest kilometer. What happens to the correlation coefficient when numbers are multiplied by a positive constant? Cost Kilometers O 190 1541 413 4980 (Round to three decimal places as needed.) 256 3215 90 690 436 4840 A. The correlation is The correlation coefficient remains the same when the numbers are multiplied by a positive constant. B. The correlation is The correlation coefficient increases when the numbers are multiplied by a…
8zzzzz
E Question Help Use the given data set to complete parts (a) through (c) below. (Use a=0.05) 11 9.26 10 6. 14 8.11 8 6. 6.13 13 4 12 9.14 8.14 8.75 8.77 3.09 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. O B. OC. O D. Ay 10- 本y 10- Ay 10- Ay 10 - 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 4 0- 0- -> 0- 41 81 12 16 4 8. 12 16 8 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. Click to select your answer(s). earch 0耳 a
(e)