AN 300 FINAL EXAM |85 COMPLETE QUESTIONS WITH EXPERT
SOLUTIONS | 2026 LATEST UPDATED | GET A+
Which of the following statements about time-series forecasting is TRUE? Check all that apply.
-It only works with trend data patterns.
-It is a predictive analytics method.
-It is a predictive analytics technique.
-It applies to strategic planning by predicting market growth rate.
-It needs data on observations of an item of interest over time.
-It answers what should happen questions.
-It predicts the future outcome of the item of interest. - (Answer)-It is a predictive analytics
technique.
-It applies to strategic planning by predicting market growth rate.
-It needs data on observations of an item of interest over time.
-It predicts the future outcome of the item of interest.
What kind of data pattern is depicted in the following line graph? Check all that apply.
Its a graph with a straight red line angled positively. There is a Blue line that begins below the
red line and then had alternating periods above and below the line.
,-Trend
-Random
-Level
-Seasonality
-Cycle - (Answer)-Trend
-Seasonality
A recurring pattern that occurs at set periods within a larger time frame. - (Answer)Seasonality
A gradual increase in values over time. - (Answer)Upward Trend
A gradual decrease in values over time. - (Answer)Downward Trend
A constant average value over time. - (Answer)Level
Which of the following is a business application of time series forecasting?
-Sales forecast of swimsuits from advertising expenditure.
, -Sales forecast of swimsuits from a survey of vacationers.
-Sales forecasts of swimsuits from past records.
-Sales forecast of swimsuits from demand of sunglasses. - (Answer)-Sales forecasts of swimsuits
from past records.
Match the characteristics on the left with the most appropriate forecasting methods to which it
applies on the right.
It requires only one historical data value. - (Answer)Naive
It adapts readily to sudden shifts in data pattern. - (Answer)Naive
It requires the data points in the time series as well as the number of periods used in forecasting.
- (Answer)Simple moving average
It is a weighted average of all prior historical actual vales. - (Answer)Exponential smoothing
average
It uses the "best fit" linear trend line to make predictions. - (Answer)Linear Regression
SOLUTIONS | 2026 LATEST UPDATED | GET A+
Which of the following statements about time-series forecasting is TRUE? Check all that apply.
-It only works with trend data patterns.
-It is a predictive analytics method.
-It is a predictive analytics technique.
-It applies to strategic planning by predicting market growth rate.
-It needs data on observations of an item of interest over time.
-It answers what should happen questions.
-It predicts the future outcome of the item of interest. - (Answer)-It is a predictive analytics
technique.
-It applies to strategic planning by predicting market growth rate.
-It needs data on observations of an item of interest over time.
-It predicts the future outcome of the item of interest.
What kind of data pattern is depicted in the following line graph? Check all that apply.
Its a graph with a straight red line angled positively. There is a Blue line that begins below the
red line and then had alternating periods above and below the line.
,-Trend
-Random
-Level
-Seasonality
-Cycle - (Answer)-Trend
-Seasonality
A recurring pattern that occurs at set periods within a larger time frame. - (Answer)Seasonality
A gradual increase in values over time. - (Answer)Upward Trend
A gradual decrease in values over time. - (Answer)Downward Trend
A constant average value over time. - (Answer)Level
Which of the following is a business application of time series forecasting?
-Sales forecast of swimsuits from advertising expenditure.
, -Sales forecast of swimsuits from a survey of vacationers.
-Sales forecasts of swimsuits from past records.
-Sales forecast of swimsuits from demand of sunglasses. - (Answer)-Sales forecasts of swimsuits
from past records.
Match the characteristics on the left with the most appropriate forecasting methods to which it
applies on the right.
It requires only one historical data value. - (Answer)Naive
It adapts readily to sudden shifts in data pattern. - (Answer)Naive
It requires the data points in the time series as well as the number of periods used in forecasting.
- (Answer)Simple moving average
It is a weighted average of all prior historical actual vales. - (Answer)Exponential smoothing
average
It uses the "best fit" linear trend line to make predictions. - (Answer)Linear Regression
