The median seasonal quarterly sales index of an IT company in Dublin from 2010 to 2013 is as follows: Quarter Median seasonal index 90.456 109.544 3 110.718 89.074 What is the adjusted median seasonal index for Quarter 3 (rounded off to two decimals)? O A. 110.77 O B. 89.12 OC. 109.61 D. 90.50
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- Find out the next month after april income by using the forecasting method of the moving average methodThe table below shows the year open and year closing price of the S&P 500 Stock Index from 2005 to 2020: Year Year Open Year Close Annual Percent Change 2005 $ 1,202.08 $ 1,248.29 2006 $ 1,268.08 $ 1,418.30 2007 $ 1,416.60 $ 1,468.36 2008 $ 1,447.16 $ 903.25 2009 $ 931.80 $ 1,115.10 2010 $ 1,132.99 $ 1,257.64 2011 $ 1,271.87 $ 1,257.60 2012 $ 1,277.06 $ 1,426.19 2013 $ 1,462.42 $ 1,848.36 2014 $ 1,831.98 $ 2,058.90 2015 $ 2,058.20 $ 2,043.94 2016 $ 2,012.66 $ 2,238.83 2017 $ 2,257.83 $ 2,673.61 2018 $ 2,695.81 $ 2,506.85 2019 $ 2,510.03 $ 3,230.78 2020 $ 3,257.85 $ 3,756.07 Find the annual percent change for the S&P 500 from 2005 to 2020; (Put those values in the table above) Compute the mean,…John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
- The table below shows percentage changes (xi) in the Dow-Jones index over the first five trading days of each of thirteen years and also the corresponding percentage changes (yi) in another index. xi yi 1.5 14.9 0.2 -9.2 -0.1 19.6 2.8 20.3 2.2 -3.7 -1.6 27.7 -1.3 22.6 5.6 2.3 -1.4 11.9 1.4 27.0 1.5 -4.3 -4.7 20.3 1.1 4.2 1- Calculate the sample correlation and interpret. 2- Test at the 1% significance level, against a two-sided alternative, the null hypothesis that the population correlation is 0. Thanks.Suppose the following table shows the approximate price of a certain stock in December of each year from 2005 through 2014, as well as the 4-year moving averages for 2005 through 2007.† Complete the table by computing the remaining 4-year moving averages. (Note the peak in 2007 and the drop in subsequent years.) Round each average to the nearest dollar. (Chart in picture)