Solve the following: 1. Sales of Volkwagen’s popular Beetle have grown steadily at auto dealership in Nevada during the past 5 years (see table below). The sales manager had predicted before the new model was introduced that first-year sales would be 410 VWs. Using exponential smoothing with a weight of α= .30, develop forecast for years 2 through 6. Year Sales 1 450 410 2 495 3 518 4 563 5 584 6? 2. The following data come from regression line projections: Forecast Period 1 2 3 4 Forecast Values 410 419 428 435 Actual values 406 423 423 440 Compute the MAD and MSE.

Practical Management Science
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Solve the following:
1. Sales of Volkwagen’s popular Beetle have grown steadily at auto
dealership in Nevada during the past 5 years (see table below). The sales manager had predicted before the new model was introduced that first-year sales would be 410 VWs. Using exponential smoothing with a weight of α= .30, develop forecast for years 2 through 6.
Year Sales
1 450 410
2 495
3 518
4 563
5 584
6?
2. The following data come from regression line projections:
Forecast
Period 1
2
3
4
Forecast Values 410
419
428
435
Actual values 406
423
423
440
Compute the MAD and MSE.

Solve the following:
1. Sales of Volkwagen's popular Beetle have grown steadily at auto
dealership in Nevada during the past 5 years (see table below).
The sales manager had predicted before the new model was
introduced that first-year sales would be 410 VWs. Using
exponential smoothing with a weight of a= .30, develop forecast
for years 2 through 6.
Year
Sales
Forecast
1
450
410
495
3
518
4
563
584
?
2. The following data come from regression line projections:
Period
Forecast Values
Actual values
1
410
406
2
3
419
428
423
423
4
435
440
Compute the MAD and MSE.
Transcribed Image Text:Solve the following: 1. Sales of Volkwagen's popular Beetle have grown steadily at auto dealership in Nevada during the past 5 years (see table below). The sales manager had predicted before the new model was introduced that first-year sales would be 410 VWs. Using exponential smoothing with a weight of a= .30, develop forecast for years 2 through 6. Year Sales Forecast 1 450 410 495 3 518 4 563 584 ? 2. The following data come from regression line projections: Period Forecast Values Actual values 1 410 406 2 3 419 428 423 423 4 435 440 Compute the MAD and MSE.
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