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lisabon 2012 [21]
3 years ago
15

If two linear regression models have the same number of explanatory variables, a model with an R2 value of 0.45 is a better pred

iction model than a model with an R2 value of 0.65.
True
False
Mathematics
1 answer:
icang [17]3 years ago
5 0

Answer:

False

Step-by-step explanation:

Given that two linear  regression models have the same number of explanatory variables

First model has coefficient of determination as 0.45 while other

0.65

we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.

Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.

Hence 0.65 model is better than 0.45 model.

The given statement is false.

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