Which of the following is NOT a problem that may arise from estimating a binary dependent variable in an OLS regression equation rather than a logistic regression equation ______.
A) increased Type II error rate
B) predicted values of the dependent variable that extend beyond the bounds of 0 or 1
C) the functional form of how the independent variable affects the dependent variable may not be linear
D) the error terms (residuals) are not normally distributed and thus violate the assumption of homoscedasticity
Correct Answer:
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Q1: Logistic regression is best suited for dependent
Q2: Applying an OLS regression equation to a
Q4: The logistic probability distribution uses which distribution?
A)
Q5: In logistic regression, estimating the probability of
Q6: In the logistic regression model, the constant
Q7: The odds of an event occurring is
Q8: In contrast to OLS regression, in logistic
Q9: By exponentiating the coefficient for an independent
Q10: The odds multiplier reflects the change in
Q11: To obtain the percent change in the
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