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a = [1,2;3,4;5,6;7,8;9,10]; J5 _# U; G4 [2 \7 U' @
result = fit(a(:,1),a(:,2),'poly1')4 e) D* b) \7 L, B# g; |7 C
coefficients = coeffvalues(result)
' ?: m+ l m3 p3 A% N- i, e) P, b8 g2 c. B- g% ]. }& A9 P7 ]
' u% \5 `% u# y; G/ e" O
result =5 X& T" }9 L, o% R% g1 J
& x, Z1 f8 \* I+ x u3 ~
Linear model Poly1:
* S" K: d0 L2 @! X3 g result(x) = p1*x + p24 I6 e% h2 t( _; o* N( Q
Coefficients (with 95% confidence bounds):; \0 J- {+ I# u6 v& `8 Q1 d. [' D3 ^" j
p1 = 1 (1, 1)
. F) @' a7 m- K4 s6 w/ F1 d# V2 I p2 = 1 (1, 1)
2 s% E f, Y" M2 P3 C
2 w4 d: g/ a4 b1 A: G- P8 F* o4 Wcoefficients =
6 ~! W) d; Y% k+ G% U8 P. d
2 l5 G% `3 j5 g2 U, a( p. S 1.000000000000000 1.000000000000000 |
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