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For the Given Scatterplot, Identify If There Is a Relationship

Question 24

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For the given scatterplot, identify if there is a relationship between For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. and For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. ​


A) Based on the value of the correlation coefficient For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. , we can conclude that there is a weak negative nonlinear relationship.
B) Based on the value of the correlation coefficient For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. , we can conclude that there is a strong positive nonlinear relationship.
C) Based on the value of the correlation coefficient For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. , we can conclude that there is a weak positive linear relationship.
D) Based on the value of the correlation coefficient For the given scatterplot, identify if there is a relationship between and . If there is a relationship between the variables, define, if it is linear or nonlinear. If the relationship appears to be linear, determine the direction and the strength of this relationship. ​ ​ A) Based on the value of the correlation coefficient , we can conclude that there is a weak negative nonlinear relationship. B) Based on the value of the correlation coefficient , we can conclude that there is a strong positive nonlinear relationship. C) Based on the value of the correlation coefficient , we can conclude that there is a weak positive linear relationship. D) Based on the value of the correlation coefficient , we can conclude that there is a strong negative linear relationship. , we can conclude that there is a strong negative linear relationship.

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