A Pearson correlation (symbolized by the letter r) is normally used to summarize the association, or correlation, between two variables. A v

Question

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

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Eden 16 mins 2022-01-12T12:06:22+00:00 1 Answer 0 views 0

Answers ( )

    0
    2022-01-12T12:07:45+00:00

    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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45:7+7-4:2-5:5*4+35:2 =? ( )