Multiple Choice
Which of the following is true:
A) It is usually worth testing the intercept in a regression equation for statistical significance.
B) We should never test the intercept in a regression equation for statistical significance.
C) The intercept in a regression equation is never interesting.
D) The intercept in a regression is often an arbitrary value.
Correct Answer:

Verified
Correct Answer:
Verified
Q9: We should be concerned about possible outliers
Q10: Which of the following sets of values
Q11: Regression analysis, rather than correlation might be
Q12: Using Cohen's criteria, we would describe a
Q13: If we find a negative relationship between
Q15: Using Cohen's criteria we would describe a
Q16: A standardized regression line (in a bivariate
Q17: A researcher assesses the smoking and drinking
Q18: Two researchers look at the relationship between
Q19: Ladislaus Bortkiewicz famously looked at the number