
Appendix Linear Regression Calculation: <#047> to <#050>
•Examples <#048> through <#050> all use the data input in Example
<#047>.
*1 Estimated Value (y =
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
Select this | When you want to obtain this: | |
menu item: | ||
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1A | Regression coefficient constant term A | |
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2B | Linear coefficient B of the regression coefficients | |
3C | Quadratic coefficient C of the regression | |
coefficients | ||
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4m1 | Estimated value of x1 | |
5m2 | Estimated value of x2 | |
6n | Estimated value of y |
•Sum
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 | ||
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Logarithmic Regression | y = A + BlnX | <#055> | |
(ln X) | |||
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e Exponential Regression | y = AeBX | <#056> | |
(e^X) |
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