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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

Ralph Lopez

in Mathematics

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Timothy Norman on June 11, 2018

The correct answer is:a weak positive correlation Explanation:An r-value, or correlation coefficient, tells us how closely the regression fits of the data. R-values range from -1 to 1; -1 indicates a perfect negative adjustment, while 1 indicates a perfect positive adjustment. The more negative r-value is -1, the better is the fit; the more positive the value of r is to 1, the better is the fit. The closer any of these are 0, the weaker is the adjustment.Since 0.29 is positive, this is an increase of fit. Since is closer to 0 than 1, it is a weak fit.


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