The following table of values gives a company's annual profits
in millions of dollars. Rescale the data so that the year 2001
corresponds to x = 0.
Year | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 |
Profits (in millions of dollars) | 23.8 | 25.2 | 26.3 | 28.9 | 27.6 | 28.4 |
Use the cubic regression model to predict the company's profits in
2010.
a) $14.5 million
b) $30.3 million
c) $32.8 million
d) $67.9 million
e) $6.8 million
f) None of the above
Rescale the data so that we get data as
Year | 0 | 1 | 2 | 3 | 4 | 5 |
Profits (in millions of dollars) | 23.8 | 25.2 | 26.3 | 28.9 | 27.6 | 28.4 |
so for the above data we get the cubic regression model as
y=-0.0389 x^3+0.0667 x^2+1.5294 x+23.7238
to predict the company's profits in 2010
substitute x = 9
y =-0.0389 ( 9 )^3+0.0667 (9 )^2+1.5294 (9)+23.7238
= 14.533
y = 14.5
Answer : Option ( a ) $14.5 million
The following table of values gives a company's annual profits in millions of dollars. Rescale the...
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