User manual

41
displays values for a (slope) and b
(y-intercept); it also displays values
for r
2
and r.
5:
QuadraticReg
Fits the second-degree polynomial
y=ax
2
+bx+c to the data. It displays
values for a, b, and c; it also
displays a value for R
2
. For three
data points, the equation is a
polynomial fit; for four or more, it is
a polynomial regression. At least
three data points are required.
6: CubicReg Fits the third-degree polynomial
y=ax
3
+bx
2
+cx+d to the data. It
displays values for a, b, c, and d; it
also displays a value for R
2
. For
four points, the equation is a
polynomial fit; for five or more, it is
a polynomial regression. At least
four points are required.
7: LnReg
a+blnx
Fits the model equation y=a+b ln
(x) to the data using a least
squares fit and transformed values
ln(x) and y. It displays values for a
and b; it also displaysvalues for r
2
and r.
8: PwrReg
ax^b
Fits the model equation y=ax
b
to
the data using a least-squares fit
and transformed values ln(x) and
ln(y). It displays values for a and b;
it also displays values for r
2
and r.
9: ExpReg
ab^x
Fits the model equation y=ab
x
to
the data using a least-squares fit
and transformed values x and ln
30XPlusMV_OM.flpgl Page 41 Friday, November 14, 2014 1:57 PM