Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12
Profit ($) 5,500 5,253 4,914 4,557 5,125 5,478 6,119 6,130 5,870
Step 2 of 5 : What are the MAD, MSE and MAPE scores for the three-period moving average? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place.
MAD = Mean of absolute deviations = 325.6
MSE = Mean of squared error = 120098.8
MAPE = Mean of absolute percentage error =6.0
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12...
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 5,350 5,103 4,824 4,437 5,080 5,358 5,819 6,091 5,837 Step 4 of 5: What are the MAD, MSE and MAPE scores for the three-period weighted moving average forecast? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place.
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 5,350 5,103 4,824 4,437 5,080 5,358 5,819 6,091 5,837 Step 2 of 5 : What are the MAD, MSE and MAPE scores for the three-period moving average? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place.
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 5,550 5,303 4,944 4,597 5,140 5,518 6,219 6,143 5,880 Step 2 of 5 : What are the MAD, MSE and MAPE scores for the three-period moving average? Round any intermediate calculations, if necessary, to no less than six decimal places, and round your final answer to one decimal place.
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 5,650 5,403 5,004 4,677 5,170 5,598 6,419 6,169 5,903 Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 6,350 6,103 5,424 5,237 5,380 6,158 7,819 6,351 6,057 Step 1 of 5: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place.
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 5,350 5,103 4,824 4,437 5,080 5,358 5,819 6,091 5,837 Step 3 of 5: Determine the three-period weighted moving average for the next time period with weights of 3 (most recent), 2 (second recent), and 1 (oldest time period). If necessary, round your answer to one decimal pl
Consider the following data: Monthly Profit of an Auto Repair Shop Month Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Profit ($) 16,416 16,566 15,355 17,420 19,063 17,240 19,138 18,501 20,290 Step 3 of 4 : Determine the exponential smoothing forecast for the next time period using a smoothing constant of 0.30 . If necessary, round your answer to one decimal place.
please explain the answer.
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Evaluating Epidemiological Trends US Annual Epidemiological Trends-Infectious Diseases Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Evaluate the annual epidemiological data for five infectious diseases in US populations. Answer the following questions, paying attention to the seasonal trends and the relative number of patients affected. We were unable to transcribe this imageWe were unable to transcribe this image
Delta IBM Jan-83 0.04 0.027 Feb-83 0.027 0.01 Mar-83 -0.016 0.028 Apr-83 -0.043 0.15 May-83 -0.045 -0.041 Jun-83 0.012 0.081 Jul-83 -0.259 0.001 Aug-83 0.08 0.001 Sep-83 0.041 0.062 Oct-83 0.039 -0.001 Nov-83 0.12 -0.066 Dec-83 -0.028 0.039 Jan-84 -0.013 -0.065 Feb-84 -0.117 -0.026 Mar-84 0.065 0.034 Apr-84 -0.085 -0.002 May-84 -0.07 -0.044 Jun-84 -0.012 -0.019 Jul-84 0.045 0.047 Aug-84 0.04 0.127 Sep-84 0.008 0.004 Oct-84 0.161 0.012 Nov-84 -0.026 -0.023 Dec-84 0.156 0.011 Jan-85 -0.01 0.108 Feb-85 0.087 -0.009...