HP SmartCalc 300s

* Sum sub-menu(sums), Var sub-menu(number of
samples,mean, standard deviation),and MinMax
sub-menu(maximum value, minmum value)
operations are the same those for linear regression
calculations.
Quadratic Regression Calculation:
* For examples:
All the data be used as follow table:
х
y
x
y
1.0
1.0
2.1
1:5
1.2
14
2.4
1.6
1.5
1.2
2.5
1.7
1.6
1.3
2.7
1.8
19
|
14
|
30
|
20
ПАК,
4
SEIFDETISTATI
Туре)
2207
3.0%
7:А*
ХВ
81/X
SW
a
(3)(
4
CX?)
1
—
[
ГЕВ
;
STAT
0]
0
ТА 2:В
(SHIFT JC(STAT) Z((Reg) 3%) $5.
5ТАТ [D]
MIA Y^
0.7028598638
STAT mn
(SHIFT )/1/(5ТАТ) (7) (Reg) |в
(2(8)//(-|/ 02576384379
STAT m
(SHIFT J(1 (STAT) (7) (Кеа) |с
(3(C (S)! 005600274153
у-3-> х=?
у-3-> X2=?
STAT b
(3)(SHIFT J(1)( STAT) (7) (Reg) 3:
BAE
-9.094472563
X= 2-> y=?
STAT n
y
(2)(SHIFT J(1(STAT) (2) (Вед)
№
ene
Comments for Other Types of Regression
For details about the calculation formula of the
command included in each regression type, refer to
the indicated calculation formulas
For example:
Logarithmic Regression (In X)
y-A4BInX
AW alni
Bane Inx)y-¥ Inx}
nÈ (ах)? - (X Inx)
nd (Inx)y-XInxE y
{пз (ах) (X Inx)2Hnx y-(x y)?}
ALZA
x=e5
$—A-Blnx
е Exponential Regression (€^ X)
у-Ае”
А-ехр(>іпу Bx)
1.442547706
r
В хіпу-У xYlny
nd x2-(¥ x)?
nXxlny-ExXlny
(n3 x- (X x) HNE (Iny)*-(LIny)?}
y=Ae*
ab Exponential Regression (A - В'Х)
y-AB"
A-exp(Elny-BEx)
= nA ў=АВ*
Power Regression(A - X^B)
y-AX
A=exp(=Iny-BE Ina)
B nXlnxlny-ElnxXlny
n3 (пх) (X Inx}?
r nX InxIny-X InxX һу
{n} (Inx)2(XInxF} {n= (Iny)* (X ny?)
Iny-InA
x=e 8
ў-Ак
Inverse Regression (1/X)
ED:
у=А+у
Xy-BXEx!
A-EEBEX.
S
Bore
к= 5ху
/5ххбуу
xy
1х)
Soo X (x! f-
2
syexy- Ey
Ale
Sxye (х y Sq
— B
Х=у-А
ў=А+Ё
Comparison Regression Curves
The following example uses the data input in as
following table:
x y x у
1.0 1.0 2.1 1:5
1.2 1.1 2.4 1.6
1.5 1.2 2.5 1./
1.6 1.3 2.7 1.8
1.9 1.4 3.0 2.0
Compare the correlation coefficient for logarithmic,
e exponential, ab exponential, Power, and inverse
regression.
STAT m
(3JSHIFT JL (STAT) (7) (Reg) 3:
^ = DX xIny-Y x X lny
(4) 60) (5) 4.502211457 В-ехр(% 27у)
r nXxlny-XxXlny
{n¥ x (X х) нт (Iny)-(X ny? y
55 56
57