Elements of Nonlinear Time Series
Analysis and Forecasting (Springer,
2017) – Jan G. De Gooijer – Complete
Solutions Manual (All 12 Chapters,
PDF)
A group of observations measured at successive time intervals is known as
a. a random variable
b. a time series
c. a forecast
d. A cross-sectional data - answer-a time series
The time series pattern which reflects a multi-year pattern of being above and below the trend
line is
a. a trend
b. seasonal
c. cyclical
d. irregular - answer-cyclical
The time series pattern that reflects variability during a single year is called
a. a trend
1
, b. seasonal
c. cyclical
d. irregular - answer-seasonal
The time series pattern that reflects gradual increase or decrease in values over a long time
period is called
a. a trend
b. seasonal
c. cyclical
d. irregular - answer-a trend
The pattern of a time series in business forecasting that is most difficult to predict is
a. trend and seasonal pattern
b. seasonal pattern
c. trend pattern
d. cyclical pattern - answer-cyclical pattern
The linear trend, Tt = 128 + 6t, for deseasonalized quarterly sales with trend and seasonal
patterns was estimated using a time series with 16 quarterly data for 2012-2015. If the seasonal
index for Quarter 1 is 0.90, then the forecast for the first quarter of 2016 is
a. 220
b. 198
c. 230
d. 207 - answer-(128 + 6(17))x0.9 = 207
The forecasting method that is appropriate when the time series has no significant trend,
2
Analysis and Forecasting (Springer,
2017) – Jan G. De Gooijer – Complete
Solutions Manual (All 12 Chapters,
PDF)
A group of observations measured at successive time intervals is known as
a. a random variable
b. a time series
c. a forecast
d. A cross-sectional data - answer-a time series
The time series pattern which reflects a multi-year pattern of being above and below the trend
line is
a. a trend
b. seasonal
c. cyclical
d. irregular - answer-cyclical
The time series pattern that reflects variability during a single year is called
a. a trend
1
, b. seasonal
c. cyclical
d. irregular - answer-seasonal
The time series pattern that reflects gradual increase or decrease in values over a long time
period is called
a. a trend
b. seasonal
c. cyclical
d. irregular - answer-a trend
The pattern of a time series in business forecasting that is most difficult to predict is
a. trend and seasonal pattern
b. seasonal pattern
c. trend pattern
d. cyclical pattern - answer-cyclical pattern
The linear trend, Tt = 128 + 6t, for deseasonalized quarterly sales with trend and seasonal
patterns was estimated using a time series with 16 quarterly data for 2012-2015. If the seasonal
index for Quarter 1 is 0.90, then the forecast for the first quarter of 2016 is
a. 220
b. 198
c. 230
d. 207 - answer-(128 + 6(17))x0.9 = 207
The forecasting method that is appropriate when the time series has no significant trend,
2
