
答案
参考答案:
第一步、录入数据,建立多元线性数据模型
X1<-c(76.0,91.5,85.5,82.5,79.0,80.5,74.5,79.0,85.0,76.5,82. 0,95.0,92.5)
X2<-c(50,20,20,30,30,50,60,50,40,55,40,40,20)
Y<-c(120,141,124,126,117,125,123,125,132,123,132,155,147)
blood<-data.frame(X1,X2,Y) lm.sol<-lm(Y~1+X1+X2,data=blood) summary(lm.sol)
得出 Call:
lm(formula=Y~X1+X2,data=blood) Residuals:
Min1QMedian3QMax
-4.0404-1.01830.46400.69084.3274
Coefficients: EstimateStd.ErrortvaluePr(>|t|)
(Intercept)-62.96 33616.99976-3.7040.004083**
X12.13 6560.1753412.1852.53e-07*** X20.40 0220.083214.8100.000713***
---
Signif.codes:0‘*** ’0.001 ‘** ’0.01 ‘* ’0.05 ‘. ’0.1 ‘’1
Residualstandarderror:2.854on10degreesoffreedom MultipleR-squared:0.9461,AdjustedR-squared:0.9354 F-statistic:87.84on2and10DF,pvalue:4.531e-0