ISYE 6414 - Unit 4 Study Guide | Verified and Updated
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Course
ISYE 6414
Institution
ISYE 6414
ISYE 6414 - Unit 4 Study Guide | Verified
and Updated
In logistic regression, we model the__________________, not the response variable, given the
predicting variables. - Answer-probability of a success
g link function - Answer-link the probability of success to the predicting variables
3 assu...
Using the R statistical software to fit a logistic regression,
A) We can use the lm() command.
B) The input of the response variable is exactly the same if the binary response data are with or without
replications.
C) We can obtain both the estimates and the standard deviations of the estimates for the regression
coefficients.
D) None of the above. - Answer✔✔-C
Using MLE, can we derive estimated coefficients/parameters in exact form? - Answer✔✔-No, they are
approximate estimated parameters
The sampling distribution of MLEs can be approximated by a... - Answer✔✔-normal distribution
What can we use to test if Betaj is = 0? - Answer✔✔-z test (wald test)
When would we reject the null hypothesis for a z test? - Answer✔✔-We reject the null hypothesis that
the regression coefficient is 0 if the z value is larger in absolute value than the z critical point. Or the 1-
alpha over 2 normal quanta. We interpret this that the coefficient is statistically significant.
Does the statistical inference for logistic regression rely on a small or large sample size? - Answer✔✔-
Large, if it was a small then the statistical inference is not reliable
Deviance - Answer✔✔-the test statistic is the difference of the log likelihood under the reduced model
and the log likelihood under the full model for testing the subset of coefficients
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