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Source: College Mathematics
, Rockswold G., Bennett J., and Briggs W.
C:/CLASES_COLEGIO/2007/NOTAS/0102/
01/12/07
Math 1332  College Mathematics
Chapter 21 Notes
Linear Functions and Models
A model is based on observed data.
Mathematical models are used to forecast business trends,
design the shapes of cars, estimate ecological trends, control highway traffic, predict weather,
and discover new information when human knowledge is inadequate (read p.73).
A model is an abstraction that has the following two characteristics:
1) A model is able to explain current phenomena.
It shouldn’t contradict data and information that
are already known to be correct.
2) A model is able to make predictions about data or results.
It should be able to use current
information to forecast phenomena or create new data.
Approximate Models
Most models are not exact representations of data.
Data may appear to be nearly linear, but not
exactly linear.
Thus, a linear function can be used to provide an approximate model of the data.
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This note was uploaded on 01/05/2012 for the course MATH 1332.S0 taught by Professor Mariselaa.martinez during the Fall '11 term at Collin College.
 Fall '11
 MariselaA.Martinez
 Logic

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