Scilab 5.3.1
- Aide Scilab
- Statistiques
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- median
- st_deviation
- center
- wcenter
- cmoment
- correl
- covar
- ftest
- ftuneq
- geomean
- harmean
- iqr
- mad
- mean
- meanf
- moment
- msd
- mvvacov
- nancumsum
- nand2mean
- nanmax
- nanmean
- nanmeanf
- nanmedian
- nanmin
- nanstdev
- nansum
- nfreq
- pca
- perctl
- princomp
- quart
- regress
- sample
- samplef
- samwr
- show_pca
- stdevf
- strange
- tabul
- thrownan
- trimmean
- variance
- variancef
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
However, this page did not exist in the previous stable version.
regress
regression coefficients of two variables
Calling Sequence
coefs=regress(x,y)
Arguments
- x,y
real or complex vector
Description
This function computes the regresion coefficients of two
variables x and y, both numerical vectors of
same number of elements n. coefs=[a b] be a
1x2 matrix such that Y=a+bX will be the equation of
the ordinary least square approximation to our data.
References
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, J.Wiley & Sons, 1990.
Examples
x=[0.5608486 0.6623569 0.7263507 0.1985144 0.5442573 0.2320748 0.2312237] y=[0.3616361 0.2922267 0.5664249 0.4826472 0.3321719 0.5935095 0.5015342] coefs=regress(x,y)
See Also
- covar — covariance of two variables
Authors
Carlos Klimann
| << quart | Statistiques | sample >> |