13 Numeric 1 point 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 MonthActual Period SUMMARY OUTPUT Jan 140 Feb 139 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 8171430 817 32 1859 0 000756 Residual 311 183344 45476 Total 1742 CoefficientsStandard Errort Stat P value Lower 95 Upper 95 Lower 95 0 Upper 95 0 Intercept 133 25 4 84378327 50949 2 15E 08 121 7963 144 7037 121 7963 144 7037 Period 4 883333 0 8607635 6732620 000756 2 847953 6 918714 2 847953 6 918714 182

Question

13 Numeric 1 point 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 MonthActual Period SUMMARY OUTPUT Jan 140 Feb 139 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 8171430 817 32 1859 0 000756 Residual 311 183344 45476 Total 1742 CoefficientsStandard Errort Stat P value Lower 95  Upper 95 Lower 95 0 Upper 95 0  Intercept 133 25 4 84378327 50949 2 15E 08 121 7963 144 7037 121 7963 144 7037 Period 4 883333 0 8607635 6732620 000756 2 847953 6 918714 2 847953 6 918714 182

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Question: 13 Numeric 1 point Consider the following time series. Calculate a trend forecast for October based on the information provided. Write your answer in the

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