資源描述：
《matlab多元線形回歸結(jié)果修正.doc》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在教育資源-天天文庫(kù)。
1、>>n=31;m=4;>>y=[279235274262280260249226235262253260277279281255266234275248236264250264266258267225263283239];>>x1=[86969598991061061009710610010010398941128499909310580869198939698101100105];>>x2=[1249311411810010210210410812410210812399104113112971051049
2、711710992115100119111106102106];>>x3=[107126106126128119116117128115123122124126123126104133120113127122120111110114121111114125119];>>x4=[250248245217232231234237225213232227207234236206256227241245226236240261231247217228227221215];>>X=[ones(n,1),x1',x2',
3、x3',x4'];>>[b,bint,r,rint,s]=regress(y',X);>>s2=sum(r.^2)/(n-m-1);>>b,bint,s,s2b=26.0590-0.06870.90220.42490.3935bint=-818.5378870.6558-2.00791.8704-0.68452.4889-1.26292.1126-1.11451.9014s=0.13781.03910.4061286.5522s2=286.5522>>rcoplot(r,rint)>>n=29;m=4;>>y
4、=[279235274262280260249226235262253260277279281255266234275248236264250264266258267263239];>>x1=[869695989910610610097106100100103989411284999093105808691989396101105];>>x2=[1249311411810010210210410812410210812399104113112971051049711710992115100119106106]
5、;>>x3=[107126106126128119116117128115123122124126123126104133120113127122120111110114121114119];>>x4=[250248245217232231234237225213232227207234236206256227241245226236240261231247217227215];>>X=[ones(n,1),x1',x2',x3',x4'];>>[b,bint,r,rint,s]=regress(y',X);
6、>>s2=sum(r.^2)/(n-m-1);>>b,bint,s,s2b=41.95930.01460.97540.13640.4044bint=-807.1833891.1020-1.84781.8771-0.59312.5440-1.54151.8142-1.11241.9211s=0.23181.81080.1596221.5265s2=221.5265>>rcoplot(r,rint)>>n=27;m=4;>>y=[279235274262260249235262253260277279281255
7、266234275248236264250264266258267263239];>>x1=[8696959810610697106100100103989411284999093105808691989396101105];>>x2=[1249311411810210210812410210812399104113112971051049711710992115100119106106];>>x3=[107126106126119116128115123122124126123126104133120113
8、127122120111110114121114119];>>x4=[250248245217231234225213232227207234236206256227241245226236240261231247217227215];>>X=[ones(n,1),x1',x2',x3',x4'];>>[b,bint,r,rint,s]=regress(y',X);>>s2=sum(r.^2)/(n
