matlab拟合那个是常数项啊？ Matlab中一元线性回归如何去掉常数项
matlab\u591a\u9879\u5f0f\u62df\u5408\u9ad8\u6b21\u9879\u4e3a0,\u4ec5\u6709\u5e38\u6570\u9879\u548c\u4e00\u6b21\u9879\u600e\u4e48\u56de\u4e8b\u4f60\u7528\u7684\u662f\u4e0d\u662f\u7ebf\u6027\u62df\u5408\u7684\u51fd\u6570\u554a\uff1f
\u53c8\u6216\u8005\u9ad8\u6b21\u9879\u7cfb\u6570\u975e\u5e38\u63a5\u8fd10\uff1f
X=[x1',x2',x3]; %\u6839\u636e\u6c42\u89e3\u8fc7\u7a0b\uff0c\u5c06X=[ones(length(y),1),x1',x2',x3]\u4e2d\u7684ones\u53bb\u6389
Y=y';
[b,bint,r,rint,stats]=regress(Y,X);
b,bint,stats %b\u5bf9\u5e94\u7684\u4f9d\u6b21\u662fa\u3001b\u3001c
>> A=[1 21.2
2 14.5
3 17.7
4 4.9
5 5.3
6 5.7
7 7.1
8 6.5
9 2.1
10 1.4]
x=A(:,1)
y=A(:,2)
X=[ones(10,1) x];
[p,brint,r,rint,starts]=regress(y,X)
A =
1.0000 21.2000
2.0000 14.5000
3.0000 17.7000
4.0000 4.9000
5.0000 5.3000
6.0000 5.7000
7.0000 7.1000
8.0000 6.5000
9.0000 2.1000
10.0000 1.4000
x =
1
2
3
4
5
6
7
8
9
10
y =
21.2000
14.5000
17.7000
4.9000
5.3000
5.7000
7.1000
6.5000
2.1000
1.4000
p =
19.1067
-1.9030
brint =
13.2301 24.9832
-2.8501 -0.9559
r =
3.9964
-0.8006
4.3024
-6.5945
-4.2915
-1.9885
1.3145
2.6176
0.1206
1.3236
rint =
-2.5781 10.5708
-8.7423 7.1411
-3.1572 11.7620
-12.9798 -0.2092
-12.1571 3.5741
-10.5240 6.5470
-7.1999 9.8290
-5.4138 10.6489
-7.8510 8.0922
-6.0266 8.6738
starts =
0.7285 21.4699 0.0017
绛旓細浣犵殑鍥炲綊妯″瀷涓嶅锛屾敼鎴愪笅闈㈢殑锛宲鐨勭涓椤涓哄父鏁伴」 >> A=[1 21.2 2 14.5 3 17.7 4 4.9 5 5.3 6 5.7 7 7.1 8 6.5 9 2.1 10 1.4]x=A(:,1)y=A(:,2)X=[ones(10,1) x];[p,brint,r,rint,starts]=regress(y,X)A = 1.0000 21.2000 2.0000 14.5000...
绛旓細鍙浣犵粰鍑轰竴缁勬暟鎹紝鐢╩atlab涓鐨勫嚱鏁板氨鍙互鎷熷悎鍑烘潵浣犳兂瑕佺殑缁撴灉鍑芥暟灏辨槸polyfit(x0,y0,1);涓婇潰x0锛寉0锛屾槸瑕佹嫙鍚堢殑涓ょ粍鏁版嵁锛1琛ㄧず鎷熷悎涓娆★紝涔熷氨鏄嚎鎬ф嫙鍚堬紝缁撴灉杈撳嚭涓や釜鏁帮紝绗竴涓槸涓娆￠」绯绘暟锛岀浜屼釜鏄父鏁伴」锛岃屼綘璇寸殑鏂滅巼搴旇灏辨槸涓娆￠」绯绘暟 濡傛灉浣犺姹傜殑涓嶆槸杩欎釜锛岃繕鍙互鐢ㄦ暟鍊煎井鍒嗚繘琛...
绛旓細polyfit琛ㄧず鎷熷悎澶氶」寮忓嚱鏁扮殑鎰忔濄傜涓変釜鍙傛暟1灏辨槸1娆＄殑鎰忔濄俢涓涓涓槸涓娆￠」绯绘暟锛岀浜屼釜鏄父鏁伴」绯绘暟銆傚椤瑰紡鎷熷悎閮界敤鐨勬渶灏忎簩涔樻硶鍘熺悊銆
绛旓細鍗宠嚜鍙橀噺涓篴鍜宐锛宑涓哄嚱鏁帮紝5鏄父鏁伴」锛6鍜7鏄竴娆￠」绯绘暟 8鍜9鏄簩娆￠」绯绘暟 瑕佹眰锛氭垜浠閫氳繃鍑芥暟鎷熷悎鏉ュ緱鍒拌繖浜涚郴鏁帮細5 6 7 8 9 1锛夌敤polyfit鏄寚鍗曞彉閲弜涓庡嚱鏁皔涔嬮棿鐨勬嫙鍚堝叧绯 濡傛灉闈炶鐢ㄨ繖涓嚱鏁帮紝鍙互鎶婁簩鍏冪殑杈撳叆鍔犳潈鍚堝苟鎴愪竴鍏冭緭鍏ワ紝绫讳技浜庝竴鍏冨洖褰掔殑鎬濇兂锛屾瘮濡傚皢杈撳叆x=a+b锛堝钩鍧囧姞鏉冿級...
绛旓細ones(size(x1)) x1 x2 x3]; 鏈鍚庢眰瑙ｇ嚎鎬鎷熷悎绯绘暟p=regress(y,X)锛 p =[ -7404.97818878696 11.6974644599097 -71.8051970654931 2.61994567425803] p鍒嗗埆鏄父鏁伴」 浠ュ強涓変釜鍙橀噺鐨勭郴鏁帮紝 鍗硑=p(1)+p(2)*x1+p(3)*x2+p(4)*x3 ...
绛旓細浣跨敤polyfit鍑芥暟杩涜璁＄畻銆1銆佹牴鎹í绾靛潗鏍囩殑鏁版嵁锛屽皢鍏惰浆鍖栦负鍚戦噺褰㈠紡銆2銆佷娇鐢╬olyfit鍑芥暟杩涜璁＄畻锛岃绠楀嚱鏁板舰寮忓涓嬶紝coeff鏄簩娆￠」绯绘暟鍜甯告暟椤绯绘暟锛孲鏄暟鎹钩鍧囨暟锛宒im鏄暟鎹淮搴︺3銆佷娇鐢╬olyval鍑芥暟璁＄畻鍑芥暟鍊硷紝灏嗗緱鍒扮殑X鍚戦噺甯﹀叆鍗冲彲銆
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绛旓細ans = Columns 1 through 5 -6.8493e-004 2.8700e-002 -3.9362e-001 1.8499e+000 3.2573e+000 Column 6 1.1043e-003 杩欓噷甯告暟椤逛负1.1043e-003锛屽凡缁忓緢灏忎簡銆傚彲浠ュ幓鎺夈傚鏋滀笉婊℃剰锛屽彲浠ュ啀鍔犲嚑涓帴杩0鐨勭偣銆matlab澶氶」寮鎷熷悎瑕佺収椤炬墍鏈夋暟鎹紝鎵浠ヤ綘澶氳鍑犱釜闈犺繎0鐨勫煎氨鍙互浜嗐
