AN 300 FINAL EXAM | QUESTIONS & CORRECT ANSWERS|
LATEST 2026 EDITION.
Incorrect 0
correct 100
Your answers
1 of 84
Term
You have a negative forecast error.
Give this one a try later!
Mean forecast error Mean absolute error
Mean absolute percentage error Standard deviation of forecast error
2 of 84
1/71
,Term
Examine several goodness of fit measures to select the best equation.
Give this one a try later!
Directing Planning
Preventing Evaluating
3 of 84
Term
You want to capture the seasonal variations of spring, summer, fall, and
winter on sales of swimsuits using a regression model. Which of the
following statements is TRUE? Check all that apply.
-Three dummy variables should be used in the model.
-A simple regression model should be used.
-Four dummy variables should be used in the model.
-A multiple regression model should be used.
Give this one a try later!
-Three dummy variables should be used in the model.
-A multiple regression model should be used.
2/71
, -They are unitless.
-CFE is the scaled down version of MFE.
-A positive CFE means the forecasting method is biased towards overestimating.
-They cannot be negative.
-it uncovers natural groupings of objects.
-It discovers random errors in data.
-It is a prescriptive analytics technique.
-It generates product demand forecasts for market basket analysis.
Mean absolute error percentage
4 of 84
Term
Time period is an independent variable in a linear regression with trend
model.
Give this one a try later!
A multiple regression with indicator
T variables and time period as the
independent variables.
0 Seasonality
3/71
, 5 of 84
Term
Match the definition on the left with the forecasting error metric to
which it applies on the right.
It sums up all the errors available.
Give this one a try later!
Cumulative Forecast error Mean Absolute error
Mean absolute percentage error Mean Square error
6 of 84
Term
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.
4/71
LATEST 2026 EDITION.
Incorrect 0
correct 100
Your answers
1 of 84
Term
You have a negative forecast error.
Give this one a try later!
Mean forecast error Mean absolute error
Mean absolute percentage error Standard deviation of forecast error
2 of 84
1/71
,Term
Examine several goodness of fit measures to select the best equation.
Give this one a try later!
Directing Planning
Preventing Evaluating
3 of 84
Term
You want to capture the seasonal variations of spring, summer, fall, and
winter on sales of swimsuits using a regression model. Which of the
following statements is TRUE? Check all that apply.
-Three dummy variables should be used in the model.
-A simple regression model should be used.
-Four dummy variables should be used in the model.
-A multiple regression model should be used.
Give this one a try later!
-Three dummy variables should be used in the model.
-A multiple regression model should be used.
2/71
, -They are unitless.
-CFE is the scaled down version of MFE.
-A positive CFE means the forecasting method is biased towards overestimating.
-They cannot be negative.
-it uncovers natural groupings of objects.
-It discovers random errors in data.
-It is a prescriptive analytics technique.
-It generates product demand forecasts for market basket analysis.
Mean absolute error percentage
4 of 84
Term
Time period is an independent variable in a linear regression with trend
model.
Give this one a try later!
A multiple regression with indicator
T variables and time period as the
independent variables.
0 Seasonality
3/71
, 5 of 84
Term
Match the definition on the left with the forecasting error metric to
which it applies on the right.
It sums up all the errors available.
Give this one a try later!
Cumulative Forecast error Mean Absolute error
Mean absolute percentage error Mean Square error
6 of 84
Term
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.
4/71
