document.write( "Question 316684: The following time series data represent the quarterly amounts spent on advertising (in millions of dollars) by a large toy company (read across): \r
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document.write( "Quarter 1 Quarter 2 Quarter 3 Quarter 4
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document.write( "8.2 8.4 7.2 8.3
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document.write( "8.4 9.8 9.6 9.5
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document.write( "8.3 9.3 10.9 11.1
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document.write( "10.0 10.0 9.3 11.8
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document.write( "11.5 11.8 11.4 10.8
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document.write( "10.7 \r
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document.write( "This series of data begins in Quarter of (i.e., time period corresponds to the first quarter of ). Using regression analysis, a linear trend line of the form was fit to the data. Using this information, generate a forecast for the total yearly amount of money that will be spent on advertising in . \n" );
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Algebra.Com's Answer #226880 by Fombitz(32388)![]() ![]() You can put this solution on YOUR website! Find the yearly cost by adding quarter by quarter for each of the 5 years. \n" ); document.write( "(1,32.1) \n" ); document.write( "(2,37.3) \n" ); document.write( "(3,39.6) \n" ); document.write( "(4,41.1) \n" ); document.write( "(5,45.5) \n" ); document.write( "Fit this with a linear model, \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( " \n" ); document.write( ". \n" ); document.write( ". \n" ); document.write( ". \n" ); document.write( "where x-Year, y-Advertising Cost in millions \n" ); document.write( "You can then use this model to forecast future costs. \n" ); document.write( ". \n" ); document.write( ". \n" ); document.write( ". \n" ); document.write( " |