Following are the data on demand for white bread loaves at a bakery. Day 1 2 3 4 Loaves 199 209 215 226 233 237 252 257 253 265 283 278 279 298 310 6 7 8. 10 11 12 13 14 15 a. Develop a linear trend...

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Extracted text: Following are the data on demand for white bread loaves at a bakery. Day 1 2 3 4 Loaves 199 209 215 226 233 237 252 257 253 265 283 278 279 298 310 6 7 8. 10 11 12 13 14 15 a. Develop a linear trend equation for the above data on demand for white bread loaves at a bakery (use of Excel's Trendline, with display Equation on chart option, is recommended), and use it to forecast demand on day 16. (Round the final answers to 2 decimal places.) Y= x+ Forecast demand on day 16 b. The variations around the linear trend line seem to have above- and below-the-line runs. Therefore, use trend-adjusted exponential smoothing with a = 0.2 and B = 0.1 to model the bread demand. Use the first four days to estimate the smoothed initial trend that you use for periods 4 and 5 (use the increase from day 1 to day 4 divided by 3). Also, use A4 to estimate S4. Start forecasting day 5. What is the forecast for day 16? (Round the final answers to 2 decimal places.) Period TAF† 5 6 7 8 9. 10 11 12 13 14 15 16 Forecast for day 16