10/3/24, 5:07 PM ISYE6414 FINAL EXAM 2024-2025 / ISYE6414 FINAL EXAM REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS P…
ISYE6414 FINAL EXAM 2024-2025 / ISYE6414
FINAL EXAM REAL EXAM QUESTIONS AND
100% CORRECT ANSWERS PLUS RATIONALES/
GRADED A
Terms in this set (71)
In Logistic Regression, the True - The relationship that links the predictors is highly
relationship between the non-linear.
probability of success and
the predicting variables is
non-linear.
In Logistic Regression, the False - In logistic regression, there are no error terms.
error terms follow a
normal distribution.
The logit function is the True - the logit function is also known as the log-odds
log of the ratio of the function, which is the ln(P/1-p).
probability of success to
the probability of failure
and is also known as the
log-odds function.
The number of parameters False - As there is no error term in logistic regression,
that need to be estimated there is no additional parameter for the variance of the
in a logistic regression error terms.
model with 6 predicting
variables and an intercept
is the same as the number
of parameters that need to
be estimated in a standard
linear regression model
with an intercept and same
predicting variables.
, 10/3/24, 5:07 PM ISYE6414 FINAL EXAM 2024-2025 / ISYE6414 FINAL EXAM REAL EXAM QUESTIONS AND 100% CORRECT ANSWERS P…
The log-likelihood function False - log-likelihood is a non-linear function, and a
is a linear function with a numerical algorithm is needed in order to maximize it.
closed form solution.
In Logistic Regression, the False - We interpret logistic regression coefficients
estimated value for a with respect to the odds of success.
regression coefficient B
represents the estimated
expected change in the
response variable
associated with a one unit
increase in the predicting
variable, holding all else
fixed.
Under logistic regression, False - The coefficient estimator follows an
the sampling distribution approximate normal distribution.
used for a coefficient
estimator is a chi-square
distribution when the
sample size is large.
When testing a subset of False - when testing a subset of coefficients, deviance
coefficients, deviance follows a chi-square distribution with q degrees of
follows a chi-square freedom, where q is the number of regression
distribution with q degrees coefficients discarded from the full model to get the
of freedom, where q is the reduced model.
number of regression
coefficients in the reduced
model.
Logistic regression deals True - logistic regression is the generalization of the
with the case where the standard regression model that is used when the
dependent variable is response variable y is binary or binomial.
binary and the conditional
distribution is binomial.
It is good practice to False - The residuals can only be defined for logistic
perform a goodness-of-fit regression with replications.
test on logistic regression
models without
replications.
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