ISYE6414 Midterm 2 Exam | Questions with 100%
Correct Answers | Verified | Latest Update 2026
Save
Practice questions for this set
Learn 1 /7 Study using Learn
True
Choose an answer
1 The _______________ for multiple linear regression do not have constant variance.
2 Model variables used to account for selection bias.
If the linearity assumption with respect to one or more predictors does not hold, then
3
we use transformations of the corresponding predictors to improve on this assumption.
4 Residuals vs fitted values are used to assess what in MLR
Don't know?
, Terms in this set (120)
The _______________ for multiple linear sample residuals
regression do not have constant
variance.
The ______________ for multiple linear error terms
regression have constant variance.
QQPlot and histogram are used to normality
assess what in MLR?
Residuals vs predictor are used to linearity
predict what in MLR
Residuals vs fitted values are used to constant variance and independence
assess what in MLR
Points that are far from the mean of leverage points
the x's are called
Points that are far from the mean of Influential points
the x's and y's are called
It is good practice to perform outliers
regression analysis with and without
what?
What is used to quantify outliers? Cook's distance
How much all the values in the Cook's distance
model change when the ith value is
removed is known as what?
Correct Answers | Verified | Latest Update 2026
Save
Practice questions for this set
Learn 1 /7 Study using Learn
True
Choose an answer
1 The _______________ for multiple linear regression do not have constant variance.
2 Model variables used to account for selection bias.
If the linearity assumption with respect to one or more predictors does not hold, then
3
we use transformations of the corresponding predictors to improve on this assumption.
4 Residuals vs fitted values are used to assess what in MLR
Don't know?
, Terms in this set (120)
The _______________ for multiple linear sample residuals
regression do not have constant
variance.
The ______________ for multiple linear error terms
regression have constant variance.
QQPlot and histogram are used to normality
assess what in MLR?
Residuals vs predictor are used to linearity
predict what in MLR
Residuals vs fitted values are used to constant variance and independence
assess what in MLR
Points that are far from the mean of leverage points
the x's are called
Points that are far from the mean of Influential points
the x's and y's are called
It is good practice to perform outliers
regression analysis with and without
what?
What is used to quantify outliers? Cook's distance
How much all the values in the Cook's distance
model change when the ith value is
removed is known as what?
