MQM 227 Exam 2 Questions and
Answers 100% Correct
Regarding types of time-series components, which of the following
statements is incorrect? - 🧠 ANSWER ✔✔B. Seasonality is represented by
an irregular pattern of demand.
What is the August forecasted demand using a 4-month moving average
for the following actual demand values: January - 300 units, February - 200
units, March - 400 units, April - 500 units, May - 600 units, June - 600 units,
July - 700 units. (Round answer to nearest whole number.) - 🧠 ANSWER
✔✔A. 4 month = 600
What is the August forecasted demand using a 4-month weighted moving
average for the following past actual demand: January - 300 units,
February - 200 units, March - 400 units, April - 500 units, May - 600 units,
,June - 600 units, July - 700 units. P1 = 0.4, P2 = 0.3, P3 = 0.2, P4 = 0.1
(Round answer to nearest whole number.) - 🧠 ANSWER ✔✔630
What is the August forecasted demand using a 6-month as well as a 6-
month moving average for the following actual demand values: January -
300 units, February - 200 units, March - 400 units, April - 500 units, May -
600 units, June - 600 units, July - 700 units. (Round answer to nearest
whole number.) - 🧠 ANSWER ✔✔B. 6 month = 500
A. The qualitative type of forecasting utilizes time-series and causal
approaches.
B. There is no universal forecasting method for all situations.
C. In organizations, managers are usually most interested in predicting
future demand.
D. In CPFR, a long-term, mutually beneficial, collaborative relationship is
needed.
E. In a regular moving average calculation, all of the months included in
the calculation are weighted equally. - 🧠 ANSWER ✔✔A. The qualitative
type of forecasting utilizes time-series and causal approaches.
, A. Short-range forecasts are good for procuring materials and work
scheduling.
B. Short-range forecasts are usually less than 6 months in the future.
C. Casual forecasting methods are great for predicting turning points in
demand.
D. Medium-range forecasts are usually 6 months to two years in the future.
E. Causal forecasting methods are usually more accurate than time-series
models for medium- to long-range forecasts. - 🧠 ANSWER ✔✔C. Casual
forecasting methods are great for predicting turning points in demand.
A. An essential forecast number is the forecasting error (e.g., standard
deviation or range).
B. Weighted moving average is the simplest method of time-series
forecasting.
C. For the weighted moving average, the sum of coefficients always
equals to 1.0.
D. Qualitative forecasting methods rely on managerial judgment.
E. In a weighted moving average calculation, demand in more recent
months is often given a higher coefficient so the moving average
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PRIVACY STATEMENT. ALL RIGHTS RESERVED
Answers 100% Correct
Regarding types of time-series components, which of the following
statements is incorrect? - 🧠 ANSWER ✔✔B. Seasonality is represented by
an irregular pattern of demand.
What is the August forecasted demand using a 4-month moving average
for the following actual demand values: January - 300 units, February - 200
units, March - 400 units, April - 500 units, May - 600 units, June - 600 units,
July - 700 units. (Round answer to nearest whole number.) - 🧠 ANSWER
✔✔A. 4 month = 600
What is the August forecasted demand using a 4-month weighted moving
average for the following past actual demand: January - 300 units,
February - 200 units, March - 400 units, April - 500 units, May - 600 units,
,June - 600 units, July - 700 units. P1 = 0.4, P2 = 0.3, P3 = 0.2, P4 = 0.1
(Round answer to nearest whole number.) - 🧠 ANSWER ✔✔630
What is the August forecasted demand using a 6-month as well as a 6-
month moving average for the following actual demand values: January -
300 units, February - 200 units, March - 400 units, April - 500 units, May -
600 units, June - 600 units, July - 700 units. (Round answer to nearest
whole number.) - 🧠 ANSWER ✔✔B. 6 month = 500
A. The qualitative type of forecasting utilizes time-series and causal
approaches.
B. There is no universal forecasting method for all situations.
C. In organizations, managers are usually most interested in predicting
future demand.
D. In CPFR, a long-term, mutually beneficial, collaborative relationship is
needed.
E. In a regular moving average calculation, all of the months included in
the calculation are weighted equally. - 🧠 ANSWER ✔✔A. The qualitative
type of forecasting utilizes time-series and causal approaches.
, A. Short-range forecasts are good for procuring materials and work
scheduling.
B. Short-range forecasts are usually less than 6 months in the future.
C. Casual forecasting methods are great for predicting turning points in
demand.
D. Medium-range forecasts are usually 6 months to two years in the future.
E. Causal forecasting methods are usually more accurate than time-series
models for medium- to long-range forecasts. - 🧠 ANSWER ✔✔C. Casual
forecasting methods are great for predicting turning points in demand.
A. An essential forecast number is the forecasting error (e.g., standard
deviation or range).
B. Weighted moving average is the simplest method of time-series
forecasting.
C. For the weighted moving average, the sum of coefficients always
equals to 1.0.
D. Qualitative forecasting methods rely on managerial judgment.
E. In a weighted moving average calculation, demand in more recent
months is often given a higher coefficient so the moving average
COPYRIGHT©PROFFKERRYMARTIN 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE.
PRIVACY STATEMENT. ALL RIGHTS RESERVED
