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linear regression

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A good regression model should have

a. a low r2 and a low significance level for the F-test.
b. a high r2 and a high significance level for the F-test.
c. a high r2 and a low significance level for the F-test.
d. a low r2 and a high significance level for the F-test.

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Solution Summary

This solution characterizes a good regression model.

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In linear regression, we want the r^2 value to be very close to 1, so that eliminates (a) and (d) as answer choices.
We usually ...

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