For the past two years, a department store has carried a new type of electronic calculator. Sales of this calculator have generally been increasing over these two years. They attempt to ensure that their stores will have enough calculators to meet practically all of the demand. The data is provided in the following table. Month January February March April May June July August September October November December Year 1 197 211 203 247 239 269 308 262 258 256 261 288 Year 2 296 276 305 308 356 393 363 386 443 308 358 384 By using Excel or some other statistical package: (a) Find the initial values lo and bo, to fit a straight line to the first half of the data. (b) Set up a spreadsheet to perform Holt's trend corrected exponential smoothing. (c) Find the values of a and y that minimize the SSE (mention which software did you use) (d) Find point forecasts and 95% prediction intervals for January, February, and March of year 3. (e) Right a short report and present your findings with some interpretations. (f) Submit your spreadsheets along with the report.
For the past two years, a department store has carried a new type of electronic calculator. Sales of this calculator have generally been increasing over these two years. They attempt to ensure that their stores will have enough calculators to meet practically all of the demand. The data is provided in the following table. Month January February March April May June July August September October November December Year 1 197 211 203 247 239 269 308 262 258 256 261 288 Year 2 296 276 305 308 356 393 363 386 443 308 358 384 By using Excel or some other statistical package: (a) Find the initial values lo and bo, to fit a straight line to the first half of the data. (b) Set up a spreadsheet to perform Holt's trend corrected exponential smoothing. (c) Find the values of a and y that minimize the SSE (mention which software did you use) (d) Find point forecasts and 95% prediction intervals for January, February, and March of year 3. (e) Right a short report and present your findings with some interpretations. (f) Submit your spreadsheets along with the report.
MATLAB: An Introduction with Applications
6th Edition
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Section: Chapter Questions
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
Transcribed Image Text:### Sales Analysis of Electronic Calculators
For the past two years, a department store has carried a new type of electronic calculator. Sales of this calculator have generally been increasing over these two years. They attempt to ensure that their stores will have enough calculators to meet practically all of the demand. The data is provided in the following table.
#### Monthly Sales Data
| Month | Year 1 | Year 2 |
|------------|--------|--------|
| January | 197 | 296 |
| February | 211 | 276 |
| March | 203 | 305 |
| April | 247 | 308 |
| May | 239 | 356 |
| June | 269 | 393 |
| July | 308 | 363 |
| August | 262 | 386 |
| September | 258 | 443 |
| October | 256 | 308 |
| November | 261 | 358 |
| December | 288 | 384 |
#### Analytical Task Instructions
By using Excel or some other statistical package, complete the following tasks:
1. **Initial Value Calculation:**
- Find the initial values \( l_0 \) and \( b_0 \) to fit a straight line to the first half of the data.
2. **Spreadsheet Setup:**
- Set up a spreadsheet to perform Holt's trend corrected exponential smoothing.
3. **Parameter Optimization:**
- Find the values of \( \alpha \) and \( \gamma \) that minimize the Sum of Squared Errors (SSE). Specify which software you used.
4. **Forecasting:**
- Find point forecasts and 95% prediction intervals for January, February, and March of year 3.
5. **Report Writing:**
- Write a short report and present your findings with some interpretations.
6. **Submission:**
- Submit your spreadsheets along with the report.
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Step 1: Write the given in formation.
VIEWStep 2: Determine the initial values l0 and b0 to fit a straight line to the first half of the data.
VIEWStep 3: Perform Holt's trend corrected exponential smoothing.
VIEWStep 4: Determine the values of alpha and gamma that minimize the SSE.
VIEWStep 5: Determine point forecasts and 95% prediction intervals for January, February, and March of year 3.
VIEWStep 6: Provide the short note and interpretation for the findings.
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