Texas Instruments 83CML/ILI/U Guidebook - Page 225

freqlist, Xlistname, Ylistname, Xlistname,Ylistname, regequ

Page 225 highlights

1-Var Stats 1.Var Stats (one-variable statistics) analyzes data with one measured variable. Each element in freqlist is the frequency of occurrence for each corresponding data point in Xlistname. freqlist elements must be real numbers > 0. 1.Var Stats [Xlistname,freqlist] 2-Var Stats Med-Med (ax+b) 2.Var Stats (two-variable statistics) analyzes paired data. Xlistname is the independent variable. Ylistname is the dependent variable. Each element in freqlist is the frequency of occurrence for each data pair (Xlistname,Ylistname). 2.Var Stats [Xlistname,Ylistname,freqlist] Med.Med (median-median) fits the model equation y=ax+b to the data using the median-median line (resistant line) technique, calculating the summary points x1, y1, x2, y2, x3, and y3. Med.Med displays values for a (slope) and b (y-intercept). Med.Med [Xlistname,Ylistname,freqlist,regequ] LinReg (ax+b) QuadReg (ax2+bx+c) LinReg(ax+b) (linear regression) fits the model equation y=ax+b to the data using a least-squares fit. It displays values for a (slope) and b (y-intercept); when DiagnosticOn is set, it also displays values for r2 and r. LinReg(ax+b) [Xlistname,Ylistname,freqlist,regequ] QuadReg (quadratic regression) fits the second-degree polynomial y=ax2+bx+c to the data. It displays values for a, b, and c; when DiagnosticOn is set, it also displays a value for R2. 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. QuadReg [Xlistname,Ylistname,freqlist,regequ] Statistics 12-25

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Statistics
12-25
1
.
Var Stats
(one-variable statistics) analyzes data with one
measured variable. Each element in
freqlist
is the
frequency of occurrence for each corresponding data point
in
Xlistname
.
freqlist
elements must be real numbers > 0.
1
.
Var Stats
[
Xlistname
,
freqlist
]
2
.
Var Stats
(two-variable statistics) analyzes paired data.
Xlistname
is the independent variable.
Ylistname
is the
dependent variable. Each element in
freqlist
is the
frequency of occurrence for each data pair
(
Xlistname,Ylistname
).
2
.
Var Stats
[
Xlistname
,
Ylistname
,
freqlist
]
Med
.
Med
(median-median) fits the model equation y=ax+b
to the data using the median-median line (resistant line)
technique, calculating the summary points
x
1
,
y
1
,
x
2
,
y
2
,
x
3
,
and
y
3
.
Med
.
Med
displays values for
a
(slope) and
b
(y-intercept).
Med
.
Med
[
Xlistname
,
Ylistname
,
freqlist
,
regequ
]
LinReg(ax+b)
(linear regression) fits the model equation
y=ax+b to the data using a least-squares fit. It displays values
for
a
(slope) and
b
(y-intercept); when
DiagnosticOn
is set, it
also displays values for
r
2
and
r
.
LinReg(ax+b)
[
Xlistname
,
Ylistname
,
freqlist
,
regequ
]
QuadReg
(quadratic regression) fits the second-degree
polynomial y=ax
2
+bx+c to the data. It displays values for
a
,
b
, and
c
; when
DiagnosticOn
is set, 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.
QuadReg
[
Xlistname
,
Ylistname
,
freqlist
,
regequ
]
1-Var Stats
2-Var Stats
Med-Med
(ax+b)
LinReg
(ax+b)
QuadReg
(ax
2
+bx+c)