ISYE 6414 Midterm Prep UPDATED
ACTUAL Exam Questions and
CORRECT Answers
Save
Sample some practice questions
Learn
Studied 7 terms
Nice work, you're crushing it
Continue studying in Learn
Terms in this set (74)
,We can assess True
the constant
variance
assumption in
linear regression
by plotting the
residuals vs.
fitted values.
If one True
confidence
interval in the
pairwise
comparison in
ANOVA
includes zero,
we conclude
that the two
corresponding
means are
plausibly equal.
,The assumption False (Explanation: is required)
of normality is
not required in
linear regression
to make
inference on the
regression
coefficients.
We cannot False (Explanation: linearly
estimate a dependent)
multiple linear
regression
model if the
predicting
variables are
linearly
independent.
, If a predicting True
variable is a
categorical
variable with 5
categories in a
linear regression
model without
intercept, we
will include 5
dummy
variables.
If the normality True
assumption
does not hold
for a regression,
we may use a
transformation
on the response
variable.
ACTUAL Exam Questions and
CORRECT Answers
Save
Sample some practice questions
Learn
Studied 7 terms
Nice work, you're crushing it
Continue studying in Learn
Terms in this set (74)
,We can assess True
the constant
variance
assumption in
linear regression
by plotting the
residuals vs.
fitted values.
If one True
confidence
interval in the
pairwise
comparison in
ANOVA
includes zero,
we conclude
that the two
corresponding
means are
plausibly equal.
,The assumption False (Explanation: is required)
of normality is
not required in
linear regression
to make
inference on the
regression
coefficients.
We cannot False (Explanation: linearly
estimate a dependent)
multiple linear
regression
model if the
predicting
variables are
linearly
independent.
, If a predicting True
variable is a
categorical
variable with 5
categories in a
linear regression
model without
intercept, we
will include 5
dummy
variables.
If the normality True
assumption
does not hold
for a regression,
we may use a
transformation
on the response
variable.