For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Question content area bottomPart 1(a) Draw a scatter diagram of the data. Question content area bottomPart 1(a) Draw a scatter diagram of the data. nттобто ЕЕлзвоно199240.9308 L80 SПВОДTOL@ Sо999 чь0.754707Data Set2 6Ол 632Values for CorrelationCoefficient119695что оп0. 576130. 553trот птSто91ост532his497482895 08198h0b120 10- 444ЕЕЋ оте42323 0 Ч13то ееЂoh ol hese039626 0.388271. 3 81bie ose29 0.36730 0.361

Answered: Image /qna-images/answer/0e59a029-1e33-4391-96e2-a6529ca22c79.jpg

For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Question content area bottom Part 1 (a) Draw a scatter diagram of the data. Question content area bottom Part 1 (a) Draw a scatter diagram of the data.

For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Question content area bottom Part 1 (a) Draw a scatter diagram of the data. Question content area bottom Part 1 (a) Draw a scatter diagram of the data.

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

Question content area bottom

Part 1

(a) Draw a scatter diagram of the data.

Question content area bottom

Part 1

(a) Draw a scatter diagram of the data.

n
т
тобто Е
Ел
звоно
1992
40.930
8 L80 S
ПВОД
TO
L
@ S
о
999 чь
0.754
707
Data Set
2 6
Ол 632
Values for Correlation
Coefficient
119
695
что оп
0. 576
130. 553
tr
от пт
S
то
91
ост
532
his
497
482
895 081
98h0b1
20 10- 444
ЕЕЋ оте
423
23 0 Ч13
то ее
Ђoh ol he
se
0
396
26 0.388
27
1. 3 81
bie ose
29 0.367
30 0.361

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Expert Solution

Step 1

Step by step

Solved in 4 steps with 4 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand, compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. Click here to view the data set. Click here to view the critical values table. Critical values for the correlation coefficient Critical Values for Correlation Coefficient Data set 3 0.997 4 0.950 2 4 6. 6. 7 0.878 0.811 y 4 8. 12 14 19 7 0.754 8 0.707 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 Print Done n
Which of the following sets of data represent valid functions? OR = {(– 5,0), (2, 3), (6, 4), (8, 9), (15, 14)} OG = {(– 5, – 3), (2, 1), (2, 4), (8, 7), (15, 13)} OS = {(– 5, – 4), (2, 3), (6, 5), (7, 9), (11, 16)} OF = {(– 4, – 1), (3, 2), (5, 4), ( – 4, – 1), (10, 15)} - - Question Help: DVideo
Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling Price (x) List Price (y) H₁: p#0 400 412 Construct a scatterplot. Choose the correct graph below. 301 315 376 387 434 440 459 488 H₁ p > 0 477 480 319 324 352 368 417 434 330 341
OA. Tip Amount ($) Construct a scatterplot. Choose the correct graph below. 25- The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) Tip Amount ($) B. Q 25- Q 0- 0 35 Ride time (minutes) Tip Amount ($) C. 25- Q 0 35 G Ride time (minutes) O D.…
fast anwsr please
Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate