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For a simple linear regression model, significance of regression is:

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For a simple linear regression model, significance of regression is:

For a simple linear regression model, significance of regression is:
A) a statistic that modifies the value of R2 by incorporating the sample size and the number of explanatory variables in the model.
B) a hypothesis test of whether the true regression coefficient ß1 is zero.
C) the variability of the observed Y-values from the predicted values.
D) a measure of how well the regression line fits the data.

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Business Analytics

Edition: 2^nd

Author: Evans

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Elmen96 Author

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8 years ago

Correct *once again*

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kelba

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