Using excel. For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83. a. Compare the three-month moving average approach with the exponential smoothing approach for α=\alpha =α= .2. Which provides more accurate forecasts using MSE as the measure of forecast accuracy? b. What is the forecast for next month? Please show work

Assuming the lowest decile of men receive an average of $800/month in Social Security, while the highest decile receive $2200/month in Social Security how much does each receive (on average) during their years in retirement. Use the chart called: Predictive Years of Receiving Social Security Benefits. Also use the born in 1940 data.

Mercury is a persistent and dispersive environmental contaminant found in many ecosystems around the world. When released as an industrial by-product, it often finds its way into aquatic systems where it can have deleterious effects on various avian and aquatic species. The accompanying data on blood mercury concentration (µg/g) for adult females near contaminated rivers in a state was read from a graph in an article. 0.20 0.23 0.24 0.30 0.35 0.41 0.54 0.57 1.43 1.70 1.82 2.20 2.24 3.08 3.24   (a) Determine the values of the sample mean and sample median.    Hint:          xi = 18.55.    (Round your answers to four decimal places.) x== Explain why they are different. The sample mean and sample median are never equal.They aren't different since the data is symmetric.    There is heavy negative skewness in the data.There are an odd number of data values.There is heavy positive skewness in the data. (b) Determine the value of the 10% trimmed mean.…

I tried to do these problems but I'm not sure if I did them right. I need someone to check my answers with.

18. Fit a straight line trend for the following data. 1997 1996 1998 1999 2000 Year: Per capita: 25 30 32 37 40 (Consumption of cotton in Kgs) Estimate the per capita consumption for the year 2002. Represent the trend line graphi- cally. CS Scanned with CamScanner

The following is the variation in fuel prices (per gallon) in Oman for the last 7 months. Determine the trend of fuel prices by using the method of simple semi-average. January February March April Мay June July OMR 1.0 OMR 1.25 OMR 1.50 OMR 1.05 OMR 1.05 OMR 1.20 OMR 1.20 O a. 1.20 and 1.0 O b. 1.25 and 1.15 O c. 1.05 and 1.0 O d. 1.0 and 1.25

Please answer the first 4 questions

Using the accompanying​ table, determine the most appropriate forecasting technique for the accompanying data about the Dow Jones Industrial Average yearly closing value and implement the model. Year Close 1983 1258.64 1984 1211.57 1985 1546.67 1986 1895.95 1987 1938.83 1988 2168.57 1989 2753.2 1990 2633.66 1991 3168.83 1992 3301.11 1993 3754.09 1994 3834.44 1995 5117.12 1996 6448.27 1997 7908.25 1998 9181.43 1999 11497.12 2000 10786.85 2001 10021.5 2002 8341.63 2003 10453.92 2004 10783.01 2005 10717.5 2006 12463.15 2007 13264.82 2008 8776.39 2009 10428.05 2010 11557.5 2011 12217.6 2012 13104.1 Use the model forecast the closing value for 2015.Use α=0.7​,β=0.3​,and γ=0.4​,as needed. F2015?

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Researchers often rely on surveys to capture a subjective assessment of well-being. One study finds that holding everything else constant, people seem to be least happy when they are in their 40's. Another study suggests that money does buy happiness, but its effects diminishes as income rises above $75000 a year. The accompanying data file includes survey daa of 100 working adults' self-assessed happiness on a scale of ) to 100, along with their age and annual income. Estimate and interpret a regression model based on Age, Age 2 and income. Predict happiness with income equal = to $80000 and age equal to 30, 45, and 60 Years Predict happiness with Age equal = to 60  and income equal to 25,000, 75000, and 125000   Happiness Age Income 69 49 52000 83 47 123000 86 72 112000 73 52 166000 89 68 90000 81 37 152000 75 48 58000 56 48 50000 75 56 93000 57 51 27000 77 60 173000 83 55 173000 85 75 68000 82 69 157000 63 39 40000 70 66 107000 78 34 109000 53…