OM 300 EXAM 1 NUNNELLEY EXAM WITH
CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS
LATEST ALREADY GRADED A+ 2026
moving average - ANSWERS-time series method; derives a
forecast by taking an average of recent demand values; used
if no trend present
Moving average = (sum of demand in previous n periods)/n
weighted moving average - ANSWERS-time-series method;
derives a forecast by taking an average where more recent
data is given more significance than older data; used if some
trend present
Weighted Moving Average = (sum of((weight for period
n)(Demand in period n)))/sum of weights
, exponential smoothing - ANSWERS-a weighted averaging
method based on previous forecast plus a percentage of the
forecast error (α)
trend projection - ANSWERS-time-series method; fits a line
to a series of historical data points and then extends the line
into the future for forecasts
Least Squares Method in excel (for tests):
slope: =slope(highlight all Y variables, highlight all X
variables)
y is usually demand and x is usually period
Intercept: =intercept(highlight all Y values, highlight all X
values)
forecast error - ANSWERS-The difference between actual
demand and the forecasted demand
associative - ANSWERS-Forecasting that considers a variety
of variables to determine expected sales
linear regression - ANSWERS-the main model of associative
forecasting
CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS
LATEST ALREADY GRADED A+ 2026
moving average - ANSWERS-time series method; derives a
forecast by taking an average of recent demand values; used
if no trend present
Moving average = (sum of demand in previous n periods)/n
weighted moving average - ANSWERS-time-series method;
derives a forecast by taking an average where more recent
data is given more significance than older data; used if some
trend present
Weighted Moving Average = (sum of((weight for period
n)(Demand in period n)))/sum of weights
, exponential smoothing - ANSWERS-a weighted averaging
method based on previous forecast plus a percentage of the
forecast error (α)
trend projection - ANSWERS-time-series method; fits a line
to a series of historical data points and then extends the line
into the future for forecasts
Least Squares Method in excel (for tests):
slope: =slope(highlight all Y variables, highlight all X
variables)
y is usually demand and x is usually period
Intercept: =intercept(highlight all Y values, highlight all X
values)
forecast error - ANSWERS-The difference between actual
demand and the forecasted demand
associative - ANSWERS-Forecasting that considers a variety
of variables to determine expected sales
linear regression - ANSWERS-the main model of associative
forecasting
