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Linear regression without constant

1. Write your data
{{Minute}} : {{Seconde}}
Build the equation Y=β1 X1 + β2 X2 + ... + βp Xp
We know Y, X1, X2, ... , Xp
The unknowns are β1, β2, ... , βp
 

 


TARGET
values
uncertainties
Y   uncert
         
PARAMETERS  

values
uncertainties
{{xd.var}}  uncert
   
                Buid a file to save project. Title of file :        
Build URL


2. Press compute to fit the linear equation
     
  {{status}}
 

Least Squares Regression (OLS)
Regression like Excel, without errors

  {{x}}
β {{x}}
σ {{x}}

 
Weighted Least Squares Regression (WLS)
Regression with errors on Y

  {{x}}
β {{x}}
σ {{x}}

 
Iterative algorithm for weighted total least squares adjustement
Regression with errors on Y and X1, X2, X3, ... , Xn

  {{x}}
β {{x}}
σ {{x}}