The same principles that apply to multiple regression, such as full model specification, also apply to time series regression.
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Q7: Classification tables should have 50% or fewer
Q8: The Hosmer and Lemeshow test compares the
Q9: Wald χ2 is the test statistic used
Q10: Logistic regression can be used to predict
Q11: The odds ratio compares the probability of
Q13: With time series data, the assumption of
Q14: Autocorrelation is detected by examining the variance
Q15: Values of the Durbin-Watson statistic around 2
Q16: The Durbin-Watson statistic has a range of
Q17: Autocorrelation is a problem, but serial correlation
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