Suppose a firm has had the historical sales figures shown as follows. What would be the forecast for next year's sales using regression to estimate a trend?
Year | 2008 | 2009 | 2010 | 2011 | 2012 | |||||||||||||||
Sales | $ | 2,000,000 | $ | 1,800,000 | $ | 2,200,000 | $ | 2,400,000 | $ | 2,300,000 | ||||||||||
Multiple Choice
$2,140,000
$2,225,000
$2,300,000
$2,500,000
Let x be the years denoted by 1-5
Let y be the sales
Let the Regression line be y = bo + b1x
where,
bo = ( Σy Σx2 - Σx Σxy ) / ( nΣx2 - (Σx)2 )
b1 = ( nΣxy - ΣxΣy ) / ( nΣx2 - (Σx)2 )
Year(x) | Sales(y) | x2 | xy | |
1 | 2000000 | 1 | 2000000 | |
2 | 1800000 | 4 | 3600000 | |
3 | 2200000 | 9 | 6600000 | |
4 | 2400000 | 16 | 9600000 | |
5 | 2300000 | 25 | 11500000 | |
Σ | 15 | 10700000 | 55 | 33300000 |
bo = ( 10700000*55 - 15*33300000 ) / ( 5*55 - 152 ) = 1780000
b1 = ( 5*33300000 - 15*10700000 ) / ( 5*55 - 152 ) = 120000
Hence, y = 1780000 + 120000x
Hence, for 2013, x = 6 => y = 1780000 + 120000*6 = 2500000
Hence, (d) $2500000 is the correct option
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