The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014.
Year | Period (t) | Revenue ($ billions) |
---|---|---|
2009 | 1 | 23.7 |
2010 | 2 | 29.3 |
2011 | 3 | 38.0 |
2012 | 4 | 50.2 |
2013 | 5 | 59.7 |
2014 | 6 | 66.7 |
(a) Develop a linear trend equation for this time series to forecast revenue (in billions of dollars). (Round your numerical values to three decimal places.)
Tt =
(b)What is the average revenue increase per year (in billions of dollars) that this company has been realizing? (Round your answer to three decimal places.)
$____?____ billion
(c)Compute an estimate of this company's revenue (in billions of dollars) for 2015. (Round your answer to two decimal places.)
$____?____ billion
a.
Sum of X = 12069
Sum of Y = 267.6
Mean X = 2011.5
Mean Y = 44.6
Sum of squares (SSX) = 17.5
Sum of products (SP) = 159.2
Regression Equation = ŷ = bX + a
b = SP/SSX = 159.2/17.5 = 9.097
a = MY - bMX = 44.6 - (9.1*2011.5) =
-18254.303
ŷ = 9.097X - 18254.303
b. Here slope value is 9.097
The average revenue increase per year (in billions of dollars) that this company has been realizing is 9.097
c. For x=2015, ŷ = (9.097*2015) - 18254.303=76.15
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