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- what insight can you derive from this segmentation result ? Stores with ? store size and ? staff size seem to have low turnover and high-profit margins.J 2 how does the standard devistion is used in investment analysisSeparating Fixed and Variable Costs, Service Setting A company has identified the following data with respect to a critical activity in its manufacturing process. Month Cost ($) Activity January 101,000 1,600 February 102,000 1,700 March 118,000 1,900 April 112,150 1,800 May 158,750 2,600 June 167,650 2,750 July 142,650 2,300 August 139,150 2,250 September 129,150 2,100 October 120,025 1,950 November 132,700 2,150 December 113,850 1,850 January 115,150 1,850 February 122,350 2,000 March 133,150 2,175 April 143,250 2,340 May 175,600 2,850 June 181,700 2,950 July 190,365 3,125 August 196,400 3,225 September 181,350 2,950 October 171,550 2,650 November 179,550 2,750 December 164,350 2,450 Management wants to ensure that it has a thorough understanding of how costs will behave in the future. Required: 1. Prepare a scattergraph based on these data. Plot cost on the vertical axis and number of activities on the horizontal axis. a.…
- Is the data point P in the picture... ...an influential point...a leverage point...none of the other options...an outlierU.S. Civilian Labor Force (thousands) Year Labor Force Year Labor Force 2007 153,918 2012 155,628 2008 154,655 2013 155,151 2009 153,111 2014 156,238 2010 153,650 2015 157,957 2011 153,995 2016 159,640 1. Fit three trend models: linear, exponential, and quadratic. Which model would offer the most believable forecasts? 2. Make forecasts using the following fitted trend models for years 2017-2019. t Exponential 11 12 13Stock Performance Decade Performance(%) 1830s 2.8 1840s 12.8 1850s 6.6 1860s 12.5 1870s 7.5 1880s 6.0 1890s 5.5 1900s 10.9 1910s 2.2 1920s 13.3 1930s -2.2 1940s 9.6 1950s 18.2 1960s 8.3 1970s 6.6 1980s 16.6 1990s 17.6 2000s -0.5 DO IN EXCEL How have stocks performed in the past? The data in StockPerformance shows the performance of a broad measure of stock performance (by percentage) for each decade from the 1830s through the 2000s. a. Plot the time series. b. Fit a three-year moving average to the data and plot the results. c. Using a smoothing coefficient of W = 0.50, exponentially smooth the series and plot the results. d. What is your exponentially smoothed forecast for the 2010s? e. Repeat c and d, using W = 0.25. f. Compare the results of c and e, that is, the results from using the different weights. Which of the two weights gives a higher forecast and which of the two weights is better for forecasting? g. What conclusions can you…