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SR17D-D1-E.doc SIZE:140x75mm SCALE 2:1 2003/9/15
-E13-
The values of the statistical variables depend on the data you in-
put. You can recall them by the key operations shown in the below
table. See Example 27.
Σ x
2
[ RCL ] + [ .A. ]
x
[ 2nd ] + [
x
]
Σ x [ RCL ] + [ .B. ]
Xın [ 2nd ] + [ Xın ]
n
[ RCL ] + [ .C. ]
Xın–1 [ 2nd ] + [ Xın–1 ]
Regression Calculation
ſ Use the REG mode for regression calculations.
Press [ MODE ] 3 to enter the REG menu and then choose one of
the six regression types by pressing the corresponding argument
value, as follow :
Lin Log Exp
Î
1 2
→
][
→
][
Í
Pwr Inv Quad
1 2 3
Lin Linear Regression y = A + B x
Log Logarithmic Regression y = A + B lnx
Exp Exponential Regression y = A • e
Bx
Pwr Power Regression y = A • x
B
Inv Inverse Regression y = A +
x
B
Quad Quadratic Regression y = A + B x + C x
2
Always make sure you clear statistical memory by [ 2nd ] [ Scl ]
before preforming regression calculation.
Individual data can be input using [ DT ] ; To delete data you just
input, please press [ 2nd ] [ CL ]. Multiple data of the same value
can be input using [ 2nd ] [ ; ]. For example, to input the data 40
and 55 ten times, press 40 [ , ] 55 [ 2nd ] [ ; ] 10 [ DT ].
The values of the statistical variables depend on the data you in-
put. You can recall them by the key operations shown in the below
table. To predict a value for x (or y) given a value for y (or x), enter
the given value, press [ 2nd ] [
y
] (or [ 2nd ] [
x
] ), and press [ = ]
again. See Example 28.
Σ x
2
[ RCL ] + [ .A. ] xın [ 2nd ] + [ xın ]
Σ x
[ RCL ] + [ .B. ] xın–1 [ 2nd ] + [ xın–1 ]
n [ RCL ] + [ .C. ]
y [ 2nd ] + [ y ]
Σ y
2
[ RCL ] + [ .D. ]
yın [ 2nd ] + [ yın ]
Σ y [ RCL ] + [ .E. ]
yın–1 [ 2nd ] + [ yın–1 ]
13


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