Consider the following time series. Calculate a trend forecast for October based on the information provided. Write your answer in the box to the nearest integer. Demand Month Actual Period SUMMARY OUTPUT Jan 140 1 Feb 139 2 Regression Statistics Mar 150 3 Multiple R 0.906292 Apr 145 4 R Square 0.821364 May 170 5 Adjusted R Square 0.795845 Jun 165 6 Standard Error 6.66744 Jul 160 7 Observations 9 Aug 170 8 Sep 180 9 ANOVA Oct df SS MS F Significance F Regression 1 1430.817 1430.817 32.1859 0.000756 Residual 7 311.1833 44.45476 Total 8 1742 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 133.25 4.843783 27.50949 2.15E-08 121.7963 144.7037 121.7963 144.7037 Period 4.883333 0.860763 5.673262 0.000756 2.847953 6.918714 2.847953 6.918714