E-30
To select linear regression and input the following data:
(170, 66), (173, 68), (179, 75)
N
3
(STAT)
2
(A+BX)
170
=
173
=
179
=
ce
66
=
68
=
75
=
Important:
• All data currently input in the Stat Editor is deleted whenever
you exit the STAT Mode, switch between the single-variable and a paired-
variable statistical calculation type, or change the Stat Format setting on
the setup menu. • The following operations are not supported by the Stat
Editor:
m
,
1m
(M–),
1t
(STO). Pol, Rec, ÷R, and multi-statements
also cannot be input with the Stat Editor.
To change the data in a cell:
In the Stat Editor, move the cursor to the cell
that contains the data you want to change, input the new data, and then
press
=
.
To delete a line:
In the Stat Editor, move the cursor to the line that you want
to delete and then press
Y
.
To insert a line:
In the Stat Editor, move the cursor to the location where
you want to insert the line and then perform the following key operation:
1
1
(STAT/DIST)
3
(Edit)
1
(Ins).
To delete all Stat Editor contents:
In the Stat Editor, perform the following
key operation:
1
1
(STAT/DIST)
3
(Edit)
2
(Del-A).
Obtaining Statistical Values from Input Data
To obtain statistical values, press
A
while in the Stat Editor and then
recall the statistical variable (
σ
x
,
Σ
x
2
, etc.) you want. Supported statistical
variables and the keys you should press to recall them are shown below.
For single-variable statistical calculations, the variables marked with an
asterisk (*) are available.
Sum:
Σ
x
2
*,
Σ
x
*,
Σ
y
2
,
Σ
y
,
Σ
xy
,
Σ
x
3
,
Σ
x
2
y
,
Σ
x
4
1
1
(STAT/DIST)
3
(Sum)
1
to
8
Number of Items:
n
*,
Mean:
o
*,
p
,
Population Standard Deviation:
σ
x
*,
σ
y
,
Sample Standard Deviation:
s
x
*, s
y
1
1
(STAT/DIST)
4
(Var)
1
to
7
Regression Coefficients:
A, B,
Correlation Coefficient:
r
,
Estimated
Values:
m
,
n
1
1
(STAT/DIST)
5
(Reg)
1
to
5
Regression Coefficients for Quadratic Regression:
A, B, C,
Estimated
Values:
m
1
,
m
2
,
n
1
1
(STAT/DIST)
5
(Reg)
1
to
6
• See the table at the beginning of this section of the manual for the regression
formulas.
1
1
STAT
STAT
STAT
STAT
STAT
STAT