FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
Question
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The correlation coefficient measures
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whether there is a relationship between two variables
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the strength of the relationship between two quantitative variables
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whether or not a scatterplot shows an interesting pattern
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the strength of the linear relationship between two quantitative variables
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Explanation:
Detailed explanation-1: -Correlation coefficients are used to measure the strength of the linear relationship between two variables. A correlation coefficient greater than zero indicates a positive relationship while a value less than zero signifies a negative relationship.
Detailed explanation-2: -The correlation coefficient is measured on a scale that varies from + 1 through 0 to – 1. Complete correlation between two variables is expressed by either + 1 or-1. When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative.
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