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Consider the following table of data. Complete parts (a) through (c) below. 1 2 3 4 y 2.00 2.00 2.00 2.50 a. Calculate the correlation coetticient. (Type an integer or decimal rounded to four decimal places as needed.) b. Sketch a graph of the data. Choose the correct answer below. А. В. 5- 5- 4- 3- 3- 1- ó i ż s 4 c. Based on how closely the data fits a straight line, is the answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line. A. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0. B. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. Oc. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. O D. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to D. O O O O

Consider the following table of data. Complete parts (a) through (c) below. 1 2 3 4 y 2.00 2.00 2.00 2.50 a. Calculate the correlation coetticient. (Type an integer or decimal rounded to four decimal places as needed.) b. Sketch a graph of the data. Choose the correct answer below. А. В. 5- 5- 4- 3- 3- 1- ó i ż s 4 c. Based on how closely the data fits a straight line, is the answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line. A. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0. B. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. Oc. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. O D. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to D. O O O O

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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Consider the following table of data. Complete parts (a) through (c) below. 2 3 4 y 2.00 2.00 2.00 2.50 a. Calculate the correlation coetticient. (Type an integer or decimal rounded to four decimal places as needed.) b. Sketch a graph of the data. Choose the correct answer below. O A. OB. Oc. OD. A c. Based on how closely the data fits a straight line, is the answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line O A. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0. O B. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. Oc. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or -1. O D. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0.
Transcribed Image Text:Consider the following table of data. Complete parts (a) through (c) below. 2 3 4 y 2.00 2.00 2.00 2.50 a. Calculate the correlation coetticient. (Type an integer or decimal rounded to four decimal places as needed.) b. Sketch a graph of the data. Choose the correct answer below. O A. OB. Oc. OD. A c. Based on how closely the data fits a straight line, is the answer to part (a) surprising? Discuss the extent to which the correlation coefficient describes how well the data fit a horizontal line O A. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0. O B. It is surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or - 1. Oc. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 1 or -1. O D. It is not surprising. Given how closely the data fits a line, one would expect a correlation coefficient close to 0.
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