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When a regression line was used to model exponential data, the -value was
0.668. If the data are linearized using logarithms and then modeled again
with a regression line, the value will be greater than 0.668.
OA. True
OB. False

Respuesta :

MrRoyal

The statement about the correlation coefficient of the exponential and logarithmic model is true

How to determine the true value of the statement?

The correlation coefficient, r² is given as:

r² = 0.668

An exponential model and a logarithm model are inverse functions.

This means that, their correlation coefficients are also inverse

Given that the correlation coefficient, r² of the exponential data is 0.668.

And the highest value of the correlation coefficient is 1.

This means that the correlation coefficient, r² of the logarithmic data would be less than 0.668

Hence, the given statement is true.

Read more about regression line at:

https://brainly.com/question/14563186

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