The __________ is a measure of the error that results from using the estimated regression equation to predict the values of the dependent variable in the sample.
A) sum of squares due to regression (SSR)
B) error term
C) sum of squares due to error (SSE)
D) residual
Correct Answer:
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Q1: In a simple linear regression model, y
Q2: In the simple linear regression model, the
Q4: In a linear regression model, the variable
Q5: Prediction of the value of the dependent
Q6: The least squares regression line minimizes the
Q7: A _ is used to visualize sample
Q8: What would be the value of the
Q9: The graph of the simple linear regression
Q10: The difference between the observed value of
Q11: In a linear regression model, the variable
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