included.
3:2-VAR STATS
Analyses paired data from 2 data sets with 2
measured variables—
x
, the independent variable,
and
y
, the dependent variable. Frequency data
may be included.
Note:
2-Var Stats also computes a linear
regression and populates the linear regression
results. It displays values for
a
(slope) and
b
(y-
intercept); it also displays values for
r
2
and
r
.
4:LinReg a
x
+b
Fits the model equation y=ax+b to the data using a
least-squares fit for at least two data points. It
displays values for
a
(slope) and
b
(y-intercept); it
also displays values for
r
2
and
r
.
5:PropReg a
x
Fits the model equation y=ax to the data using
using least squares fit for at least one data point.
It displays the value for
a
. Supports data forming a
vertical line with the exception of all 0 data.
6:RecipReg
a/
x
+b
Fits the model equation y=a/x+b to the data using
least squares fit on linearised data for at least two
data points. It displays values for
a
and
b
; it also
displays values for
r
2
and
r
.
7: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.
8: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.
9:LnReg a+bln
x
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
displays values for
r
2
and
r
.
:PwrReg a
x
^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
.
:ExpReg ab^
x
Fits the model equation y=ab
x
to the data using a
least-squares fit and transformed values x and ln
(y). It displays values for
a
and
b
; it also displays
values for
r
2
and
r
.
Math Functions
31