To solve the problem we must know about the correlation coefficients.
<h3>What is the
correlation coefficient?</h3>
The correlation coefficient helps us to know how strong is the relation between two variables. Its value is always between +1 to -1, where, the numerical value shows how strong is the relation between them and, the '+' or '-' sign shows whether the relationship is positive or negative.
- 1 indicates a strong positive relationship.
- -1 indicates a strong negative relationship.
- A result of zero indicates no relationship at all, therefore, independent variable.
The correlation coefficient -0.9847 denotes, "There is a strong negative relationship between x and y".
Given to us
- The correlation coefficient for the data is −0. 9847.
As we can see that the value of the correlation coefficient is 0.9847, therefore, it is close to 1 means the relationship is strong, while the '-' symbol denotes that the relationship is negative.
Hence, the correlation coefficient -0.9847 denotes, "There is a strong negative relationship between x and y".
Learn more about Correlation Coefficients:
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