Question: Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 110.71 117.25 0.94 0.38 -176.19 397.62 time index 82.62 23.33 3.56 0.01 25.80 139.43
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |||
| Intercept | 110.71 | 117.25 | 0.94 | 0.38 | -176.19 | 397.62 | ||
| time index | 82.62 | 23.33 | 3.56 | 0.01 | 25.80 | 139.43 |
| Season | time period | Demand | |
| Year 2011 | Spring | 1 | 250 |
| Summer | 2 | 200 | |
| Fall | 3 | 380 | |
| Winter | 4 | 560 | |
| Year 2012 | Spring | 5 | 540 |
| Summer | 6 | 300 | |
| Fall | 7 | 730 | |
| Winter | 8 | 900 | |
| Year 2013 | Spring | 9 | |
| Summer | 10 | ||
| Fall | 11 | ||
| Winter | 12 |
Based on the demand data for the past two years (2011 and 2012) shown in the table below and the regression outputs of regressing Demand on time period are attached below the demand table. Please calculate the demand forecast for each season of year 2013.
What is the demand forecast for Fall winter summer spring 2013?
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