If the forecasted value of the time series variable for period 2 is 25 and the actual value observed for period 2 is 22.5, what is the forecast error in period 2? 2.5 2 3 -2.5
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If the forecasted value of the time series variable for period 2 is 20.5 and the actual value observed for period 2 is 20, what is the forecast error in period 2? A. -0.5 B. 2.3 C. 0.5 D. –2.5
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Question 14 (1 point) The Absolute error for period 3 when Naive forecast method is used: (Please round to 2 decimal places for your answer) | X(Period) | Y(Sales) | Naive Forecast | Error | Absolute Error | Absolute Percent Error | Squared Error | |---|---|---|---|---|---|---| | 1 | 7.7 | | | | | | | 2 | 12.8 | | | | | | | 3 | 3.5 | | | | | | | 4 | 10.1 | | | | | | | 5 | 15.2 | | | | | | | 6 | 12.5 | | | | | | | 7 | | | | | | | Your Answer:
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a. For the series $\sum\left(1 / n^{3}\right),$ use the inequalities in Equation $(2)$ with $n=10$ to find an interval containing the sum $S .$ b. As in Example $5,$ use the midpoint of the interval found in part (a) to approximate the sum of the series. What is the maximum error for your approximation?
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