Page 1 of 133
ISYE 6414-REGRESSION ANALYSIS MIDTERM EXAM PROJECT
REPORT 500+ QUESTIONS WITH CORRECT DETAILED ANSWERS
LATEST UPDATE THIS YEAR - JUST RELEASED
QUESTION: Which one is correct?
a)The logit link function is the only link function that can be used for modeling binary response
data.
b)Logistic regression models the probability of a success given a set of predicting variables.
c)The interpretation of the regression coefficients in logistic regression is the same as for
standard linear regression assuming normality.
d)None of the above. - ANSWER-b)Logistic regression models the probability of a success given
a set of predicting variables.
QUESTION: In logistic regression,:
a)The estimation of the regression coefficients is based on maximum likelihood estimation.
b)We can derive exact (close form expression) estimates for the regression coefficients.
1
,Page 2 of 133
c)The estimations of the regression coefficients is based on minimizing the sum of least
squares.
d)All of the above. - ANSWER-a)The estimation of the regression coefficients is based on
maximum likelihood estimation.
QUESTION: 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)We can obtain both the estimates and the standard
deviations of the estimates for the regression coefficients.
QUESTION: Logistic regression is different from standard linear regression in that:
a)The sampling distribution of the regression coefficient is approximate.
b)A large sample data is required for making accurate statistical inferences.
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,Page 3 of 133
c)A normal sampling distribution is used instead of a t-distribution for statistical inference.
d)All of the above. - ANSWER-d)All of the above.
QUESTION: In logistic regression,:
a)The hypothesis test for subsets of coefficients is a goodness of fit test.
b)The hypothesis test for subsets of coefficients is approximate; it relies on large sample size.
c)We can use the partial F test for testing whether a subset of coefficients are all zero.
d)None of the above. - ANSWER-b)The hypothesis test for subsets of coefficients is
approximate; it relies on large sample size.
QUESTION: In logistic regression,:
a)We can perform residual analysis for response data with or without replications.
b)Residuals are derived as the fitted values minus the observed responses.
c)The sampling distribution of the residual is approximately normal distribution if the model is a
good fit.
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, Page 4 of 133
d)All of the above. - ANSWER-c)The sampling distribution of the residual is approximately
normal distribution if the model is a good fit.
QUESTION: Which one is correct?
a)We can evaluate the goodness of fit a model using the testing procedure of the overall
regression.
b)In applying the deviance test for goodness of fit in logistic regression, we seek large p-values,
that is, not reject the null hypothesis.
c)There is no error term in logistic regression and thus we cannot perform a goodness of fit
assessment.
d)None of the above. - ANSWER-b)In applying the deviance test for goodness of fit in logistic
regression, we seek large p-values, that is, not reject the null hypothesis.
QUESTION: Which is correct?
a)Prediction translates into classification of a future binary response in logistic regression.
b)In order to perform classification in logistic regression, we need to first define a classifier for
the classification error rate.
c)One common approach to estimate the classification error is cross-validation.
4
ISYE 6414-REGRESSION ANALYSIS MIDTERM EXAM PROJECT
REPORT 500+ QUESTIONS WITH CORRECT DETAILED ANSWERS
LATEST UPDATE THIS YEAR - JUST RELEASED
QUESTION: Which one is correct?
a)The logit link function is the only link function that can be used for modeling binary response
data.
b)Logistic regression models the probability of a success given a set of predicting variables.
c)The interpretation of the regression coefficients in logistic regression is the same as for
standard linear regression assuming normality.
d)None of the above. - ANSWER-b)Logistic regression models the probability of a success given
a set of predicting variables.
QUESTION: In logistic regression,:
a)The estimation of the regression coefficients is based on maximum likelihood estimation.
b)We can derive exact (close form expression) estimates for the regression coefficients.
1
,Page 2 of 133
c)The estimations of the regression coefficients is based on minimizing the sum of least
squares.
d)All of the above. - ANSWER-a)The estimation of the regression coefficients is based on
maximum likelihood estimation.
QUESTION: 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)We can obtain both the estimates and the standard
deviations of the estimates for the regression coefficients.
QUESTION: Logistic regression is different from standard linear regression in that:
a)The sampling distribution of the regression coefficient is approximate.
b)A large sample data is required for making accurate statistical inferences.
2
,Page 3 of 133
c)A normal sampling distribution is used instead of a t-distribution for statistical inference.
d)All of the above. - ANSWER-d)All of the above.
QUESTION: In logistic regression,:
a)The hypothesis test for subsets of coefficients is a goodness of fit test.
b)The hypothesis test for subsets of coefficients is approximate; it relies on large sample size.
c)We can use the partial F test for testing whether a subset of coefficients are all zero.
d)None of the above. - ANSWER-b)The hypothesis test for subsets of coefficients is
approximate; it relies on large sample size.
QUESTION: In logistic regression,:
a)We can perform residual analysis for response data with or without replications.
b)Residuals are derived as the fitted values minus the observed responses.
c)The sampling distribution of the residual is approximately normal distribution if the model is a
good fit.
3
, Page 4 of 133
d)All of the above. - ANSWER-c)The sampling distribution of the residual is approximately
normal distribution if the model is a good fit.
QUESTION: Which one is correct?
a)We can evaluate the goodness of fit a model using the testing procedure of the overall
regression.
b)In applying the deviance test for goodness of fit in logistic regression, we seek large p-values,
that is, not reject the null hypothesis.
c)There is no error term in logistic regression and thus we cannot perform a goodness of fit
assessment.
d)None of the above. - ANSWER-b)In applying the deviance test for goodness of fit in logistic
regression, we seek large p-values, that is, not reject the null hypothesis.
QUESTION: Which is correct?
a)Prediction translates into classification of a future binary response in logistic regression.
b)In order to perform classification in logistic regression, we need to first define a classifier for
the classification error rate.
c)One common approach to estimate the classification error is cross-validation.
4
