matlab建立多元线性回归模型并进行显著性检验及预测问题 用matlab做多元线性回归的时候，怎么得到检验回归系数显著...
\u8c01\u80fd\u7ed9\u6211\u4e00\u4e2a\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578bmatlab\u4ee3\u7801\uff0c\u9700\u8981\u6709\u663e\u8457\u6027\u68c0\u9a8c\u4ee5\u53ca\u7cfb\u6570\u6c42\u89e3\u4ec0\u4e48\u7684\u3002matlab\u91cc\u9762\u6709\u63d0\u4f9b\u56de\u5f52\u6a21\u578b\u7684\u5168\u5957\u89e3\u51b3\u65b9\u6848\uff0c\u5c31\u662f\u7ebf\u6027\u62df\u5408\u7684\u5de5\u5177\u7bb1\uff0ccftool\uff0c\u5728\u547d\u4ee4\u7a97\u53e3\u8f93\u5165cftool\u547d\u4ee4\uff0c\u53ef\u4ee5\u8c03\u51fa\u5de5\u5177\u7bb1\uff0c\u4f60\u53ef\u4ee5\u81ea\u5df1\u6478\u7d22\u4e0b\uff0c\u90fd\u662f\u7b80\u5355\u7684\u82f1\u8bed\uff0c\u76f8\u4fe1\u4f60\u6478\u7d22\u4e00\u4f1a\u513f\u5c31\u4f1a\u4e86\u3002
\u5bf9\u4e8eX\u3001Y\u4e24\u4e2a\u6b63\u6001\u603b\u4f53\u7684\u6837\u672c\uff0c\u5176t\u68c0\u9a8c\u5e94\u4f7f\u7528ttest2()\u51fd\u6570\u6765\u68c0\u9a8c\u5047\u8bbe\u3002
[H,P,CI]=ttest2(X,Y)
X=[ones(16,1) x]; 增加一个常数项
Y=[88 85 88 91 92 93 93 95 96 98 97 96 98 99 100 102]';
[b,bint,r,rint,stats]=regress(Y,X)
得结果：b = bint =
-16.0730 -33.7071 1.5612
0.7194 0.6047 0.8340
stats = 0.9282 180.9531 0.0000
即对应于b的置信区间分别为[-33.7017，1.5612]、[0.6047,0.834]; r2=0.9282, F=180.9531, p=0.0000
p<0.05, 可知回归模型 y=-16.073+0.7194x 成立.
这个是一元的，如果是多元就增加X的行数！
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