To determine a) Whether the diagram shows a positive correlation , a negative correlation , or no correlation. And also to describe if there is a positive or negative correlation, it is strong or weak. Explanation Given: Correlation : A correlation is a special type of relationship between variables, in which a rise or fall in one goes along with a corresponding rise or fall in the other. Establishing a correlation between two variables does not mean that a change in one variable causes a change in the other. A correlation is defined as a relation, which exists between two variables when higher values of one variable consistently go with higher values of another variable or when higher values of one variable consistently go with lower values of another variable. Types of Correlation: When the increase in one variable ( X ) is followed by a corresponding increase in the other variable ( Y ) or vice-versa, then the corresponding correlation is said to be positive correlation. The positive correlation range from 0 to + 1 , where + 1 is the perfect positive coefficient of correlation. In the perfect positive correlation, every unit increase in one variable result in every unit increase in the other variable. On the other hand, if the increase in one variable ( X ) results in a corresponding decrease in the other variable ( Y ) or vice-versa, then the corresponding correlation is said to be negative correlation... To determine b) The conclusion from the diagram.

Using and Understanding Mathematics: A Quantitative Reasoning Approach (6th Edition)

6th Edition

ISBN: 9780321914620

Author: Jeffrey O. Bennett, William L. Briggs

Publisher: PEARSON

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Question

Chapter 5.E, Problem 16E

To determine

a)

Whether the diagram shows a positive correlation, a negative correlation, or no correlation. And also to describe if there is a positive or negative correlation, it is strong or weak.

To determine

b)

The conclusion from the diagram.

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Chapter 5.E, Problem 15E

Chapter 5.E, Problem 17E

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a) Whether the diagram shows a positive correlation , a negative correlation , or no correlation. And also to describe if there is a positive or negative correlation, it is strong or weak.