Why is the sign of a coefficient important?
A) It tells us whether a coefficient is significant
B) A positive coefficient indicates a large relationship; a negative coefficient indicates a small relationship
C) It is used in the determination of the confidence interval
D) It tells us whether the direction of a research hypothesis is confirmed
Correct Answer:
Verified
Q10: A constant is considered interpretable when the:
A)
Q11: The difference between R2 and adjusted R2
Q12: Omitted variable bias is:
A) leaving out independent
Q13: One strength of multivariate regression is:
A) an
Q14: If in a linear regression model the
Q15: Multicollinearity occurs when:
A) two dependent variables in
Q16: Logistic regression is used for:
A) ordinal dependent
Q17: In regression, when a confidence interval contains
Q18: The three S's (sign, size, significance) are
Q20: The standard error of the estimate:
A) tells
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