E-41
Appendix
Linear Regression Calculation: <#047> to <#050>
• Examples <#048> through <#050> all use the data input in Example
<#047>.
*1 Estimated Value
(
y
= –3
→
m
= ?
)
*2 Estimated Value
(
x
= 2
→
n
= ?
)
Commands when Quadratic Regression Calculation
(_+CX
2
) Is Selected
With quadratic regression, regression is performed in accordance
with the following model equation.
y
=
A
+
BX
+
CX
2
See
Appendix
<#051> for information about the calculation
formula used for each command.
Reg Sub-menu (
1
1
(STAT)
7
(Reg))
Select this
When you want to obtain this:
menu item:
1
A
Regression coefficient constant term A
2
B
Linear coefficient B of the regression coefficients
3
C
Quadratic coefficient C of the regression
coefficients
4
m
1
Estimated value of
x
1
5
m
2
Estimated value of
x
2
6
n
Estimated value of
y
• Sum sub-menu (sums), Var sub-menu (number of samples, mean,
standard deviation), and MinMax sub-menu (maximum value,
minimum value) operations are the same those for linear regression
calculations.
Appendix
Quadratic Regression Calculation: <#052> to <#054>
• Examples <#052> through <#054> all use the data input in
Example <#047>.
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
(
Appendix
<#055> to <#059>).
Statistical Calculation
Model Equation
Calculation
Type
Formula
Logarithmic Regression
y
=
A
+
B
ln
X
<#055>
(ln X)
e
Exponential Regression
y
=
Ae
BX
<#056>
(
e
^X)
