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A Pearson correlation (symbolized by the letter r) is normally used to summarize the association, or correlation, between two variables. A value of 1.30 indicates a strong correlation

A. True
B. False

Respuesta :

Answer:

False

Step-by-step explanation:

We are given the following in the question:

Pearson correlation = 1.30

Pearson coefficient:

  • The range of Pearson coefficient is from [-1,1]
  • A positive correlation means that an increase in one quantity leads to an increase in another quantity
  • A negative correlation means with increase in one quantity the other quantity decreases.
  • +1 tells about a a perfect positive linear relationship and −1 indicates a perfect negative linear relationship.

Since, the given coefficient of Pearson does not lies in the range, it cannot express relation between two quantities.

Thus, a value of 1.30 does not indicates a strong correlation.

Thus, the given statement is false.

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