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Sagot :
Answer:
B/ it represents a perfectly linear positive correlation between x and y
Step-by-step explanation:
correlation
of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.
The correlation coefficient for the data represents a perfectly linear positive correlation between x and y.
What is a perfectly linear positive correlation?
It means the variable should be shifted together by having the similar percentage and the direction.
Here it shows the direct relationship between two variables it can be anything like the demand for the product, and the price of the product.
hence, The correlation coefficient for the data represents a perfectly linear positive correlation between x and y.
Learn more about correlation here: https://brainly.com/question/1564293
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