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For the Given Scatterplot, Identify If There Is a Relationship

Question 64

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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 positive linear 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 positive nonlinear 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 positive linear 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 positive nonlinear 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 positive linear 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 positive nonlinear 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 positive linear 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 positive nonlinear relationship. , we can conclude that there is a weak positive linear 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 positive linear 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 positive nonlinear 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 positive linear 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 positive nonlinear 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 positive linear 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 positive nonlinear relationship. , we can conclude that there is a strong positive nonlinear relationship.

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