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

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.