Use the data below to solve for the following: 2. Naïve method 3. Unweighted 3 month moving average 4. Weighted Moving Average (3 months, with the following weights: 0.45, 0.35, 0.20) 5. Simple Exponential Smoothing with the following parameters: Ft+1=32 and the α = .15 6. Time Series Regression Months 1 2 3 4 5 6 7 8 9 10 11 12 Firm's Actual Market share 30 32 33 34 28 33 29 27 32 33 28 33 7. Which of the following forecasting method will you use? 8. What are your basis in choosing for your forecasting techniques? Explain briefly. ONLY DO 78
Use the data below to solve for the following: 2. Naïve method 3. Unweighted 3 month moving average 4. Weighted Moving Average (3 months, with the following weights: 0.45, 0.35, 0.20) 5. Simple Exponential Smoothing with the following parameters: Ft+1=32 and the α = .15 6. Time Series Regression Months 1 2 3 4 5 6 7 8 9 10 11 12 Firm's Actual Market share 30 32 33 34 28 33 29 27 32 33 28 33 7. Which of the following forecasting method will you use? 8. What are your basis in choosing for your forecasting techniques? Explain briefly. ONLY DO 78
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...
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