MSIS 3223 Test 2 with 100% Correct
Answers
A
It measures the uncertainty of a random variable. - ANS-Which of the following is true
about variance?
A
It measures the uncertainty of a random variable.
B
Higher variance implies low uncertainty.
C
It is the square root of a random variable's standard deviation.
D
It is the weighted average of all possible outcomes.
a. time-series - ANS-Regression models of ____ data focus on predicting the future.
a. time-series
b. panel
c. cross sectional
d. missing
C
is one that repeats at fixed intervals of time, typically a year, month, week, or day. -
ANS-Time series models may exhibit seasonal effects or cyclical effects. A seasonal
effect differs from a cyclical effect in that a seasonal effect:
A
has no trend, is relatively constant, and only exhibits random behavior.
B
describes ups and downs over a time frame such as several years.
C
is one that repeats at fixed intervals of time, typically a year, month, week, or day.
D
is based on analysis of historical time-series data and are predicated on the assumption
that the future is an extrapolat
C
noted the consumer response to similar previous products to marketing campaigns and
used the responses as a basis to predict how the new marketing campaign might fare. -
Answers
A
It measures the uncertainty of a random variable. - ANS-Which of the following is true
about variance?
A
It measures the uncertainty of a random variable.
B
Higher variance implies low uncertainty.
C
It is the square root of a random variable's standard deviation.
D
It is the weighted average of all possible outcomes.
a. time-series - ANS-Regression models of ____ data focus on predicting the future.
a. time-series
b. panel
c. cross sectional
d. missing
C
is one that repeats at fixed intervals of time, typically a year, month, week, or day. -
ANS-Time series models may exhibit seasonal effects or cyclical effects. A seasonal
effect differs from a cyclical effect in that a seasonal effect:
A
has no trend, is relatively constant, and only exhibits random behavior.
B
describes ups and downs over a time frame such as several years.
C
is one that repeats at fixed intervals of time, typically a year, month, week, or day.
D
is based on analysis of historical time-series data and are predicated on the assumption
that the future is an extrapolat
C
noted the consumer response to similar previous products to marketing campaigns and
used the responses as a basis to predict how the new marketing campaign might fare. -
