For a Simple Linear Regression Model, Significance of Regression Is

question 56

Multiple Choice

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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