In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model.Which of the following option is true?

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TuteeHUB · Accepted Answer

None of these.

TuteeHUB · Answer

If R Squared increases, this variable is significant.

TuteeHUB · Answer

If R Squared decreases, this variable is not significant.

TuteeHUB · Answer

Individually R squared cannot tell about variable importance. We can’t say anything about it right now.

1.	In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model.Which of the following option is true?
A.	If R Squared increases, this variable is significant.
B.	If R Squared decreases, this variable is not significant.
C.	Individually R squared cannot tell about variable importance. We can’t say anything about it right now.
D.	None of these.
Answer» D. None of these.

In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model.Which of the following option is true?

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