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Which best describes the strength of a model with an r-value of 0.29?


a weak positive correlation

a strong positive correlation

a weak negative correlation

a strong negative correlation

Verified Answer :

The correct answer is:

a weak positive correlation

Explanation:

An r-value, or correlation coefficient, tells us how closely the regression fits the data. R-values range from -1 to 1; -1 indicates a perfect negative fit, while 1 indicates a perfect positive fit. The closer a negative r-value is to -1, the better the fit; the closer a positive r-value is to 1, the better the fit. The closer either of these are to 0, the weaker the fit.

Since 0.29 is positive, this is an increasing fit. Since it is closer to 0 than 1, it is a weak fit.

MrRoyal

A model with an r-value of 0.29 represents a weak positive correlation

How to interpret the correlation?

The correlation coefficient has its value to be from -1 to 1

The correlation coefficient is given as:

r = 0.29

The closer the value to 0, the weaker the correlation.

0.29 is closer to 0, than it is to 1

And 0.29 is positive

Hence, a model with an r-value of 0.29 represents a weak positive correlation

Read more about correlation at:

https://brainly.com/question/3900657

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