Re: Linear Regression

[Marco Atzeri]

Am 08.12.2018 um 01:06 schrieb LucaLuca:
> hi,
> i try this example :
>
> function esercizio_interpolazione()
>
>    pkg load statistics
>
>    a=[4 5 6 -1 0 4 -2 0 -3]
>
>    b=[1 2 3 4 5 6 7 8 9]
>
>    yi =polyfit(a',b',1)

Luca,

you should read the documentation with some attention

 -- P = polyfit (X, Y, N)
 -- [P, S] = polyfit (X, Y, N)
 -- [P, S, MU] = polyfit (X, Y, N)
     Return the coefficients of a polynomial P(X) of degree N that
     minimizes the least-squares-error of the fit to the points '[X,
     Y]'.


You are inverting X and Y


 yi =polyfit(b',a',1)
yi =

  -0.90000   5.94444


>    hold on
>    plot(b',a','b')
>
>    plot(yi,'c')
> endfunction
>
> look this pics:
>
> https://gyazo.com/521d0d62cb33d334251e374c27fdce92

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