Consider the following quarterly data with additional information below the data: Year sales (in thousands) 2008 20 Year Quarter Period Retail Sales 2009 24 2010 27 2006 First 12 2011 26 Second 18 2012 29 Third 25 2013 32 2014 31 Fourth 20 2007 First 5 You are told that the AR(3) model is given by : = 10 + 0.7:-1 - 0.2yt-2 + 0.3y-3. . What is the forecasted value for 2015? 16 Second 18 Third 30 Select one: Fourth 8 21 O a. 29.41 2008 First 9 15 Second 10 17 O b. 31.10 Third 11 29 O c. 32.20 Fourth 12 20 O d. 34.00 The trend line for the data is Y = 17.06 + 0.47t. O e. 34.40 The seasonal indexes are 0.739,0.897, 1.380, and 0.984 respectively. Suppose we obtain data on prices of big-screen televisions and estimate the following model: What is the recomposed value for the fourth quarter of 2007? In(Price) = 4.06 + 0.06 * Size + 0.23 * Wide + 0.34 * Plasma + 0.21 * LCD + 0.09 * Memory where the dependent variable has been transformed, Size is the screen size measured in inches, Wide is a dummy variable equal to one if the television is a widescreen, Plasma is a dummy variable equal to one if the television is a Plasma screen, LCD is equal to one if the television is an LCD screen, and Memory is a dummy variable equal to one if the television has any memory card slots. Select one: What is the estimated price of a 42" Widescreen Plasma television with 2 memory card slots? O a. 20.49 O b. 21.00 Select one: O c. 17.45 O a. 7.24 O d. 15.58 O b. 7.33 O c. 1525.38 O e. 20.82 O d. 1394.09 O e. 1881.83