curve fit

Hi
everyone,i am confused about one of problme of curve fit!
When i read the help document, there is an example that i
can not understand:
Linear model poly1:
f(x)=p1*x^3+p2*x^2+p3*x+p4
coefficients (with 95% confidence bounds):
p1=-0.09837 (-0.1095,-0.08729)
p2=1.275 (1.113, 1.437)
p3=-0.4351 (-1.092,0.2222)
p4=2.56 (1.787,3.332)

linear model poly2:
f(x)=p1*x^5+p2*x^4+p3*x^3+p4*x^2+p5*x+p6
p1=0.001389 (-0.003589,0.006367)
p2=-0.03441 (-0.1601, 0.09125)
p3=0.1934 (-0.9131, 1.3)
p4=0.2733 (-3.856, 4.402)
p5=1.013 (-5.785, 7.811)
p6=1.835 (-2.167,5.837)

The conclusion is: According the coefficients of the
two model, poly1(cubic)fit coefficients are accurately and
the quinitic fit coefficients are not accurately know.
I dont understand how to evaluate which model is
accurate according the parameters above!Anybody can help me?
Any response would be appreciated.Thanks a lot!


.

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