数学建模社区-数学中国
标题:
matlab结果分析,不懂啊。。
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作者:
幸福的蹊径
时间:
2012-5-27 21:33
标题:
matlab结果分析,不懂啊。。
在用matlab做线性回归模型时结果该怎么分析,,具体结果如下:
9 N- i; e3 d, l0 Z f4 [
data =
# Y2 Z9 W: @; e; H; Z" T; P6 H: H
: K+ ~ d' P1 h; o/ l5 [
Columns 1 through 4
9 U) ~ _: G4 O9 T- ]
( E9 _# ]6 _. g2 P; L
1.0000 3.8500 3.8000 5.5000
! t7 v! s) O) ^+ q
2.0000 3.7500 4.0000 6.7500
: L% P6 m4 G1 I% P1 D n
3.0000 3.7000 4.3000 7.2500
: Z7 O, Q1 L* }6 c; [
4.0000 3.7000 4.3000 5.5000
2 \# p' C- R2 F/ D6 W) N
5.0000 3.6000 3.8500 7.0000
9 ^5 Z, T( j. S0 e3 R
6.0000 3.6000 3.8000 6.5000
5 o" R2 r1 ~' ~ i. K
7.0000 3.6000 3.7500 6.7500
+ c( W3 S9 @- Y* I4 X. @
8.0000 3.8000 3.8500 5.2500
& y( T9 t9 Y/ l: q$ j2 A# q
9.0000 3.8000 3.6500 5.2500
" y% ]$ Y4 {/ C# a
10.0000 3.8500 4.0000 6.0000
3 U3 E8 b1 E8 U7 ]. S6 i* n$ H% f
11.0000 3.9000 4.1000 6.5000
, a i0 T2 B5 w2 R7 @ y
12.0000 3.9000 4.0000 6.2500
* T4 c/ x0 ^% X6 }1 ]) c' e$ l& e
13.0000 3.7000 4.1000 7.0000
" F3 {0 U# e2 R' j
14.0000 3.7500 4.2000 6.9000
$ W z3 u/ ~9 p9 R+ A1 F
15.0000 3.7500 4.1000 6.8000
/ ] }+ x+ b Z3 _0 Y! E" n, s
16.0000 3.8000 4.1000 6.8000
0 i# M. W: y. B) _# z4 \: y
17.0000 3.7000 4.2000 7.1000
& s5 d v( K5 b! {6 `& ~
18.0000 3.8000 4.3000 7.0000
* d; w/ A& v1 R& R0 Q2 ^
19.0000 3.7000 4.1000 6.8000
7 h0 ]4 l, }7 k9 Z( R' d5 H3 w' E
20.0000 3.8000 3.7500 6.5000
* J; U2 Z" M& `) p/ j' }8 m* D0 M
21.0000 3.8000 3.7500 6.2500
# t$ P v+ h, C6 x( f( Y
22.0000 3.7500 3.6500 6.0000
( H' F" E8 {# z- `& S
23.0000 3.7000 3.9000 6.5000
4 k, R# t: Y* ] D3 S# r' O
24.0000 3.5500 3.6500 7.0000
9 T4 B1 o- Q% I
25.0000 3.6000 4.1000 6.8000
* \4 z, \; ?. y5 t# N9 T$ }' ]
26.0000 3.6500 4.2500 6.8000
# t" ?+ K" F; i a7 |
27.0000 3.7000 3.6500 6.5000
2 M3 G+ N& C7 f) Z* v$ W q
28.0000 3.7500 3.7500 5.7500
5 |, } v0 }' T! L9 }4 w
29.0000 3.8000 3.8500 5.8000
8 X' I) G! x. Y4 P$ h- ^9 B
30.0000 3.7000 4.2500 6.8000
* e8 l8 H/ t4 P3 H+ Q. A
7 e( X: V& w$ d* h
Columns 5 through 6
2 c% ^8 o& S" _; R9 t% f" |! s: m
, f/ p( A4 {! R9 w* ]- v( Y
-0.0500 7.3800
; W/ P4 M$ _0 X
0.2500 8.5100
1 j: n; |+ H$ s4 H7 P( Z; X8 [3 _
0.6000 9.5200
' P5 Y* _/ K$ u# Y/ y
0 7.5000
9 H7 M0 i' {) D
0.2500 9.3300
{2 R5 A! A9 j/ E
0.2000 8.2800
( M* ], w3 L' [3 T$ W2 ?; k- D
0.1500 8.7500
) b/ U8 [% \+ U4 T0 l7 B
0.0500 7.8700
/ B8 {1 U+ C0 D- G* e' z( ]
-0.1500 7.1000
( O Z" g- p3 u) s1 l' z
0.1500 8.0000
8 v: e. n( e2 b2 d4 B w4 _
0.2000 7.8900
1 u: x) ~# }+ j# H: }" q
0.1000 8.1500
% C" e/ a: ~7 u9 D
0.4000 9.1000
X+ L8 [" K, \! ]: c- \
0.4500 8.8600
! h2 j! u* H$ a/ a J
0.3500 8.9000
' b/ R* S9 n" t) q5 l/ ~# M
0.3000 8.8700
$ {& j% o! X4 D5 w: ?: p/ F* b4 @
0.5000 9.2600
" b! U2 e" \7 A; |8 f2 A
0.5000 9.0000
6 p* J. } y6 R( ?- U$ z3 x. B
0.4000 8.7500
) F( Q5 S+ |/ p% y: |9 n9 I- H2 G
-0.0500 7.9500
( a2 j3 G# m# [# u1 ]& @
-0.0500 7.6500
1 I3 h R' m1 T
-0.1000 7.2700
% @; d+ q* P% R
0.2000 8.0000
0 ]9 i. {+ O$ v
0.1000 8.5000
. H3 t5 V* m. D
0.5000 8.7500
6 F2 z# C! {8 Z+ ]( ]$ r
0.6000 9.2100
) w# E, I1 s6 P1 X& M
-0.0500 8.2700
/ |. x$ i ]8 T" S" ?
0 7.6700
1 C, \. T: r$ ?; j
0.0500 7.9300
, F; ~; B. M4 H( s s! u
0.5500 9.2600
' u- F \: s9 O8 r2 E
. S! A4 U' j0 s& F2 @/ c
0 Q* ]* {" ]( E% i2 i/ Z
betint =
3 f- |& T) b# k4 g: [
8 e2 H) F: Y. x4 b( ?
17.3244
- i- [8 g* _ k6 i- ?: F( O
1.3070
, a r$ H5 \1 m9 E
-3.6956
+ M% E4 P' d4 I w7 t+ y
0.3486
9 Y; K) S2 a3 p" B( K
( |7 N+ a' ?( t9 f* F
. H' |4 |3 ?' X0 d
r =
; t6 W9 Q7 v$ _$ U# X; F9 l$ K |# \' X
3 b6 ^* e8 J* G: e
5.7282 28.9206
3 ^( P6 L, s" \8 Q# N6 t
0.6829 1.9311
7 x- x1 _# M7 }# J! ]5 ~
-7.4989 0.1077
' R# ~0 s9 X8 Y; y% o/ H
0.0379 0.6594
" N$ X7 c3 i0 }( r+ Z
1 c8 J$ `. W, _9 w
" o3 x- R& ` O/ b; O0 ]0 B( C
rint =
# y2 H2 }0 Z- h. E+ Z' B
( a/ o# W: }; @3 ~2 u
-0.0988
3 B3 H% Z. N! }# u
-0.0795
* I. x6 _ p% h
-0.1195
: l" y. J8 @+ g
-0.0441
/ @ l1 I/ R; ~8 X4 Q% U
0.4660
/ E. M# C& K0 S
-0.0133
' F2 G; H) K5 v: j. |0 C( u
0.2912
0 F& ?, e0 y* I- |' w; Q
0.2735
% t- y, V* X% d$ Q3 V
-0.2351
- B1 E% g; T9 k X6 L
0.1031
! U8 i# C: V$ W' g: ^
-0.4033
# R9 U7 W. G$ W/ ?" A% L
0.1747
0 E) V( s7 n# d( Y7 ^+ r5 |
0.0400
+ W) {) m; [" O* [" T5 {, b
-0.1504
2 c4 L- i, Y; d- N9 l4 \
0.1284
6 S7 @; B! z3 N2 a+ P% A# Z
0.1637
# r% i0 Q& D6 e8 Y o
-0.0527
0 |- j- l' z! t, M6 N
-0.1907
5 s1 V/ G" [3 i
-0.0870
# O, l2 I% S) E C& i+ ]) d1 P
-0.0165
3 t: n% N% f, O' H2 i- e, y- w
-0.1292
2 ~% j6 z* `' p) |9 x# q9 j4 j
-0.3002
/ [2 _- t/ l7 f/ A
-0.2933
; g ?1 P( s" [
-0.1679
, Y- I4 Y. o. A, ?
-0.2177
8 J6 m+ @9 m. R) l& C3 [+ \2 g) e
0.1116
4 F" F9 `# i% c( ?: r# o4 a. ]
0.3035
3 r+ d4 l( |2 W. S7 A
0.0693
$ l$ d, G" R8 n2 A k7 [6 V
0.2474
) T& _5 k4 g5 p) f4 ^' w' ^, l
0.2270
& t: H2 ~ i) l% ?; `
( W' z1 L, }. ~# V, y" c
$ F2 i( ?2 \9 Q$ s! h
stats =
) S) B; F; `1 E7 O/ |. X
$ Q8 \& H4 A ^# z V, }) i
-0.5270 0.3294
, O# @5 b/ v+ M* w
-0.5309 0.3718
' j L6 g; p" R! M
-0.5106 0.2716
* |9 C+ r- c/ m6 s% S) ?8 u2 O, P# S
-0.4731 0.3848
$ o6 `4 L4 |5 w5 |! W
0.0813 0.8507
2 R/ e' }% N1 g% W. s
-0.4609 0.4343
5 p$ E1 U; `+ _3 B8 F0 A" g' K6 H
-0.1374 0.7197
: f+ }9 V1 o. r& B
-0.0870 0.6340
& D1 r* Y$ U- ?( V4 F# `0 o( K. g
-0.5960 0.1258
; ]. g7 h' ]! B. Y2 l# ?9 J
-0.3280 0.5341
% @9 G* `8 G$ E$ h0 I
-0.8190 0.0125
Q. A+ H! O; y' p9 I$ T
-0.2618 0.6112
9 b' H% k1 Q9 q! T
-0.4032 0.4832
9 b8 \9 b! h8 p. }2 {7 p5 j( k6 Q
-0.5933 0.2925
I. }% l( _' S
-0.3207 0.5775
7 d# m- q+ @/ Q& ^2 T" S6 Y
-0.2841 0.6116
$ W$ i0 s: _: l
-0.4830 0.3776
/ l2 c& | V5 x, `% l+ I" o& P
-0.6248 0.2434
, @- ]: Y. t% s, y+ @
-0.5348 0.3609
) x2 j) w7 e& T5 N8 H' b- K& J0 S# x
-0.4423 0.4092
9 V3 A8 g1 Q, N) `6 l$ l7 C: t) I
-0.5609 0.3024
1 D2 u% @, Y5 R5 B" O9 {' w1 f
-0.7181 0.1177
3 l1 O3 t }+ w
-0.7243 0.1377
& u8 F( Z! {) `7 ^ ^
-0.5548 0.2190
' {5 h2 k; E j' v0 {
-0.6449 0.2095
$ _) ?& `- y( @8 H `% N
-0.2994 0.5226
9 W" _. \* o+ d( A3 O
-0.1037 0.7106
9 B6 l+ |7 f, K
-0.3714 0.5099
5 }! S* U/ t2 t
-0.1807 0.6755
+ ^. E7 z- C {7 l7 L
-0.1890 0.6430
$ h0 ~7 ]3 t$ ^
, b, ]$ K q8 B/ c' D. g5 u+ F
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