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Sagot :
Answer: There is a positive strong correlation
Step-by-step explanation: i learned that i think
You can use the definition of correlation coefficient which is just a constant value giving idea about how correlated two data sets' values are.
The correlation coefficient 0.9532 shows that the values are too much correlated(positively).
What is correlation coefficient and how to interpret it?
Correlation coefficient is a measure of how similar two datasets are acting.
The range of correlation coefficient is [-1, 1]
- When the correlation coefficient comes out as -1, it means that both the datasets are negatively oppositely correlated. One data increases, other data starts decreases in the opposite direction.
- When the correlation coefficient comes out below 0, values are negatively correlated.
- If the correlation coefficient comes out as 0, that means both the data sets are uncorrelated with respect to how we compare them.
- When the correlation coefficient comes out > 0, that means both datasets' values are positively correlated.
- If correlation coefficient comes out as 1, then the values grow exact similarly, in the same direction.
Since given correlation coefficient s 0.9532 which is too close to 1 compared with closeness to 0, we conclude that the set of data containing paired values have highly positive correlated values.
Learn more about correlation coefficient here:
https://brainly.com/question/10725272
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