Scilab 5.3.3
- 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
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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
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