Following are the data on demand for white bread loaves at a bakery. Day 1 2 3 4 Y = 5 6 7 8 9 10 11 12 13 14 15 Period 5 Loaves 210 215 210 231 6 7 8 9 10 11 232 238 242 253 260 12 13 14 268 285 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.) 278 281 298 312 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 = 0.3 and = 0.2 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.) TAFt X+ Saved

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Following are the data on demand for white bread loaves at a bakery. 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 =0.3 and =0.2 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.)