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 (_+CX2) Is Selected

With quadratic regression, regression is performed in accordance with the following model equation.

y = A + BX + CX2

See Appendix <#051> for information about the calculation formula used for each command.

Reg Sub-menu (11(STAT)7(Reg))

Select this

When you want to obtain this:

menu item:

 

1A

Regression coefficient constant term A

 

 

2B

Linear coefficient B of the regression coefficients

3C

Quadratic coefficient C of the regression

coefficients

 

4m1

Estimated value of x1

5m2

Estimated value of x2

6n

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 + BlnX

<#055>

(ln X)

 

 

e Exponential Regression

y = AeBX

<#056>

(e^X)

 

 

E-41