ISYE6414 MIDTERM ACTUAL TEST QUESTIONS AND CORRECT ANSWERS BUNDLED STUDY MATERIAL COMPLETE GUIDE

ISYE6414 MIDTERM ACTUAL TEST
QUESTIONS AND CORRECT ANSWERS
BUNDLED STUDY MATERIAL COMPLETE
GUIDE

●● If one confidence interval in the pairwise comparison in ANOVA
includes zero, we conclude that the two corresponding means are
plausibly equal..
Answer: True


●● The assumption of normality is not required in linear regression to
make inference on the regression coefficients..
Answer: False (Explanation: is required)


●● We cannot estimate a multiple linear regression model if the
predicting variables are linearly independent..
Answer: False (Explanation: linearly dependent)


●● If a predicting variable is a categorical variable with 5 categories in a
linear regression model without intercept, we will include 5 dummy
variables..
Answer: True

, ●● If the normality assumption does not hold for a regression, we may
use a transformation on the response variable..
Answer: True


●● The prediction of the response variable has higher uncertainty than
the estimation of the mean response..
Answer: True


●● Statistical inference for linear regression under normality relies on
large sample size..
Answer: False (Explanation: small sample size is fine)


●● A nonlinear relationship between the response variable and a
predicting variable cannot be modeled using regression..
Answer: False (Explanation: Nonlinear relationships can often be
modeled using linear regression by including polynomial terms of the
predicting variable, for example.)


●● Assumption of normality in linear regression is required for
confidence intervals, prediction intervals, and hypothesis testing..
Answer: True