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Refer to the accompanying scatterplot. a. Examine the pattem of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (1,1) and find the correlation coefficientr and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. Ay 10- Table of critical values 10 a. Do the data points appear to have a strong linear correlation? a =.05 = 01 No V Yes 950 990 878 959 b. What is the value of the correlation coefficient for all 10 data points? 6. 811 917 754 875 r= (Simplify your answer. Round to three decimal places as needed.) 8. 707 834 9 666 798 10 632 765 11 602 735 12 576 708 13 553 684 14 532 661 15 514 641 16 497 623 12 482 606 18 468 590 19 456 575 20 444 561 25 396 505

Refer to the accompanying scatterplot. a. Examine the pattem of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (1,1) and find the correlation coefficientr and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. Ay 10- Table of critical values 10 a. Do the data points appear to have a strong linear correlation? a =.05 = 01 No V Yes 950 990 878 959 b. What is the value of the correlation coefficient for all 10 data points? 6. 811 917 754 875 r= (Simplify your answer. Round to three decimal places as needed.) 8. 707 834 9 666 798 10 632 765 11 602 735 12 576 708 13 553 684 14 532 661 15 514 641 16 497 623 12 482 606 18 468 590 19 456 575 20 444 561 25 396 505

MATLAB: An Introduction with Applications
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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Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (1,1) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. 10- Table of critical values 10 a. Do the data points appear to have a strong linear correlation? =.05 01 No Yes 950 990 878 959 b. What is the value of the correlation coefficient for all 10 data points? 811 917 .754 .875 (Simplify your answer. Round to three decimal places as needed.) 8. 707 666 834 6. 798 10 632 .765 11 602 735 12 576 553 708 13 684 14 532 514 .497 .661 15 641 16 623 17 .482 606 18 468 590 19 456 .575 20 444 396 .561 25 505
Transcribed Image Text:Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (1,1) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient. 10- Table of critical values 10 a. Do the data points appear to have a strong linear correlation? =.05 01 No Yes 950 990 878 959 b. What is the value of the correlation coefficient for all 10 data points? 811 917 .754 .875 (Simplify your answer. Round to three decimal places as needed.) 8. 707 666 834 6. 798 10 632 .765 11 602 735 12 576 553 708 13 684 14 532 514 .497 .661 15 641 16 623 17 .482 606 18 468 590 19 456 .575 20 444 396 .561 25 505
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