A regression equation is y 180 2x where y is the

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A regression equation is Y= 180 + 2X, where Y is the demand in hundreds of units and X is advertising in $1,000’s… What would be the predicted demand when advertising is $20,000? The least responsive method is the one that places the smallest weight on the most recent period. Which of the following is the least responsive to recent fluctuations in demand? (a.) WMA (.4, .3, .3) (b.) SMA (4)* (c.) SMA (3) (d.) WMA (.3, .2, .4) (e.) SMA (2) Weighted Moving Average Forecasting is Quantitative and Time Series . The Delphi method of forecasting is Qualitative and Judgmental . Times Series forecasting with Simple Linear regression is Quantitative and Time Series . In comparison with Times Series forecasting, and advantage of Casual methods is that it is better to predict turning points .
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In comparison with Time Series methods, and advantage of Casual forecasting methods is that it’s better for long range . Times Series components are: Cyclical, Seasonal, Trend, and Random. Given the following history, what is the WMA (.2, .3, .5) forecast for June? Period MAR APR MAY JUN Demand 310 320 325 332 Given the following actual demand, what is the SMA (3) forecast for June? Period MAR APR MAY JUN Demand 310 320 312 319 Given the following history, what is the WMA ( .1, .2, .7) forecast for July? Period MAR APR MAY JUN Demand 310 320 340 330 Given the following actual demand, what is the SMA (2) forecast for July? Period MAR APR MAY JUN Demand 430 400 440 420 Using SES (0.2), what is the forecast for June, given the following history?
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