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a. Based on the scatterplot, is there a positive or negative association between height of athlete and length of jump? b. Based on the scatterplot, state why using a linear regression equation is justified to assess the relationship between height and length of jump. c. Which of the following (pick one only) could be a possible value of the correlation coefficient between distance and height? Explain in a sentence or two. Choices are: -1, -0.7, 0, 0.1, 0.7, 1.

a. Based on the scatterplot, is there a positive or negative association between height of athlete and length of jump? b. Based on the scatterplot, state why using a linear regression equation is justified to assess the relationship between height and length of jump. c. Which of the following (pick one only) could be a possible value of the correlation coefficient between distance and height? Explain in a sentence or two. Choices are: -1, -0.7, 0, 0.1, 0.7, 1.

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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a. Based on the scatterplot, is there a positive or negative association between height of athlete and length of jump?

b. Based on the scatterplot, state why using a linear regression equation is justified to assess the relationship between height and length of jump.

c. Which of the following (pick one only) could be a possible value of the correlation coefficient
between distance and height? Explain in a sentence or two.
Choices are: -1, -0.7, 0, 0.1, 0.7, 1.
 
2. A high school track & field coach wanted to assess the relationship between an athletes height and how far they can jump in the long jump event (both in inches). They collect data on each athletes height and how far they can jump. Let the height in inches of the athlete be the explanatory variable (X) and the distance in inches of the jump be the response (Y). The scatterplot of the data based on 32 athletes is as follows: distance 88 86 84 82 80 78 00 O 70 Scatter Plot 72 height 000 00 00 8 74 8 ¥ 75 76 78
Transcribed Image Text:2. A high school track & field coach wanted to assess the relationship between an athletes height and how far they can jump in the long jump event (both in inches). They collect data on each athletes height and how far they can jump. Let the height in inches of the athlete be the explanatory variable (X) and the distance in inches of the jump be the response (Y). The scatterplot of the data based on 32 athletes is as follows: distance 88 86 84 82 80 78 00 O 70 Scatter Plot 72 height 000 00 00 8 74 8 ¥ 75 76 78
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