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

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Quizplus · Accepted Answer

Significance of regression is a hypothesis test of whether the true regression coefficient is zero, which means there is no linear relationship between the dependent and independent variables.

For a Simple Linear Regression Model, Significance of Regression Is