(a) The Marino Company in Ventura County, southern California sells swimming pool equipment. The sales for swimming pool motors in southern California over the last 12 months is given in Table Q4(a). Forecast the demand from March to December of the current year using the following forecasting models. Use excel for the tabulation. (1) Three-month simple moving average; (i)Three-month weighted moving average. Use 0.7, 0.2, and 0.1 for the weights, with 0.7 for the most recent period, and 0.1 for the oldest period. (ii) Simple linear regression; (iv) Determine the MAD, and SE for all the models, and choose which model is most appropriate. Table Q4(a) Marino Company Sales of Swimming pool motors Quantity (units) 11,596 Month January February March 14,438 16,861 10,002 April May 15,106 June 17,941 July August September October 11,877 14,290 17,363 12,430 14,858 November December 16,833

You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?

The below data represent the advertising expenditure and sales of Liu Liu Ltd from year 2010 to 2019. Table: Advertising Expenditure vs. Sales from 2010 to 2019   Year Advert. Expenditure   Sales Growth rate of Ad. Expenditure Growth rate of Sales   (x, £000) (y, £000)     2010 19 84     2011 22 108 18% 29% 2012 32 82 46% -24% 2013 42 86 32% 6% 2014 47 84 11% -3% 2015 46 94 -2% 11% 2016 58 103 27% 10% 2017 63 115 8% 12% 2018 70 106 11% -8% 2019 80 142 15% 34% Total 479 1004       a. What is the statistical relationship shown in the table and list out 3 characteristics of this relationship?

the table shows the percent of households with internet access for selected years from 2009 and projected through 2015. Year Percent of households 2009 67 2010 70 2011 72.5 2012 75 2013 76.5 2014 77.2 2015 78 Use the model to predict the percent of households with internet access in 2022.