多元假设检验 Statistic Value F Value Num df den df pr>F Wilks Lambda 0.545616206.87 433 0004 Pillai's trace 0.45438380687 433 0.0004 Hotelling-Lawley Trace 0.83279015 6.87 0.0004 Roys Greatest root 0.83279015 6.87 433 0.0004 思考:拒绝原假设是否说明两个总体的所有的变量之间 都是不相等的
多元假设检验 Statistic Value F Value Num DF Den DF Pr > F Wilks' Lambda 0.54561620 6.87 4 33 0.0004 Pillai's Trace 0.45438380 6.87 4 33 0.0004 Hotelling-Lawley Trace 0.83279015 6.87 4 33 0.0004 Roy's Greatest Root 0.83279015 6.87 4 33 0.0004 思考：拒绝原假设是否说明两个总体的所有的变量之间 都是不相等的
Dependent Variable: X1 Sum of Source DF Squares Mean square f value pr>F Model 10.874667910.8746679116900.0002 Error 361.863008400.05175023 Corrected total 37 2.73767632 两类企业间有显著性差异。 Dependent variable: X2 Sum of Source DF Squares Mean Square f value Pr>F Model 10.083120770.083120771.950.1710 Error 361.533700280.04260279 Corrected Total 37 1.61682105 两炎企业间有无显著性差异
Dependent Variable: x1 Sum of Source DF Squares Mean Square F Value Pr > F Model 1 0.87466791 0.87466791 16.90 0.0002 Error 36 1.86300840 0.05175023 Corrected Total 37 2.73767632 两类企业间有显著性差异。 Dependent Variable: x2 Sum of Source DF Squares Mean Square F Value Pr > F Model 1 0.08312077 0.08312077 1.95 0.1710 Error 36 1.53370028 0.04260279 Corrected Total 37 1.61682105 两类企业间有无显著性差异
Dependent Variable: X3 Sum of Source DE Squares Mean Square f value pr>F Model 116.4695844316.4695844321.45<0001 Error 3627.640805040.76780014 Corrected total 37 44.11038947 Dependent variable: X4 Sum of Source Squares Mean square f value pr>F Model 10.001126940.001126940.030.8643 Error 361.369780950.03804947 Corrected Total 37 1.37090789
Dependent Variable: x3 Sum of Source DF Squares Mean Square F Value Pr > F Model 1 16.46958443 16.46958443 21.45 <.0001 Error 36 27.64080504 0.76780014 Corrected Total 37 44.11038947 Dependent Variable: x4 Sum of Source DF Squares Mean Square F Value Pr > F Model 1 0.00112694 0.00112694 0.03 0.8643 Error 36 1.36978095 0.03804947 Corrected Total 37 1.37090789