多元线性回归问题,matlabx1=[100 101.9 108.2 104.01 102.6 103.6];x2=[174 162.6 233.8 257 322.4 373.1];y=[88.92 83.7 91.13 127.24 141.11 150.37];x=[x1' x2'];rstool(x,y,'purequadratic')X=[ones(6,1) x1'x2'(x1.^2) (x2.^2)];[b,bint,r,rint,stats]=reg
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![多元线性回归问题,matlabx1=[100 101.9 108.2 104.01 102.6 103.6];x2=[174 162.6 233.8 257 322.4 373.1];y=[88.92 83.7 91.13 127.24 141.11 150.37];x=[x1' x2'];rstool(x,y,'purequadratic')X=[ones(6,1) x1'x2'(x1.^2) (x2.^2)];[b,bint,r,rint,stats]=reg](/uploads/image/z/3933683-35-3.jpg?t=%E5%A4%9A%E5%85%83%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E9%97%AE%E9%A2%98%2Cmatlabx1%3D%5B100+101.9+108.2+104.01+102.6+103.6%5D%3Bx2%3D%5B174+162.6+233.8+257+322.4+373.1%5D%3By%3D%5B88.92+83.7+91.13+127.24+141.11+150.37%5D%3Bx%3D%5Bx1%27+x2%27%5D%3Brstool%28x%2Cy%2C%27purequadratic%27%29X%3D%5Bones%286%2C1%29+x1%27x2%27%28x1.%5E2%29+%28x2.%5E2%29%5D%3B%5Bb%2Cbint%2Cr%2Crint%2Cstats%5D%3Dreg)
多元线性回归问题,matlabx1=[100 101.9 108.2 104.01 102.6 103.6];x2=[174 162.6 233.8 257 322.4 373.1];y=[88.92 83.7 91.13 127.24 141.11 150.37];x=[x1' x2'];rstool(x,y,'purequadratic')X=[ones(6,1) x1'x2'(x1.^2) (x2.^2)];[b,bint,r,rint,stats]=reg
多元线性回归问题,matlab
x1=[100 101.9 108.2 104.01 102.6 103.6];
x2=[174 162.6 233.8 257 322.4 373.1];
y=[88.92 83.7 91.13 127.24 141.11 150.37];
x=[x1' x2'];
rstool(x,y,'purequadratic')
X=[ones(6,1) x1'x2'(x1.^2) (x2.^2)];
[b,bint,r,rint,stats]=regress(y,X);
b,stats
多元线性回归问题,matlabx1=[100 101.9 108.2 104.01 102.6 103.6];x2=[174 162.6 233.8 257 322.4 373.1];y=[88.92 83.7 91.13 127.24 141.11 150.37];x=[x1' x2'];rstool(x,y,'purequadratic')X=[ones(6,1) x1'x2'(x1.^2) (x2.^2)];[b,bint,r,rint,stats]=reg
这下通了,都是小问题:
x1=[100 101.9 108.2 104.01 102.6 103.6];
x2=[174 162.6 233.8 257 322.4 373.1];
y=[88.92 83.7 91.13 127.24 141.11 150.37];
x=[x1' x2'];
rstool(x,y,'purequadratic')
format short g
X=[ones(6,1) x1' x2' (x1.^2)' (x2.^2)']
[b,bint,r,rint,stats]=regress(y',X)
b,stats
结果:
b =
-8019.3
156.2
0.93544
-0.76405
-0.0011674
stats =
0.99524 52.239 0.10336 20.494