多元假设检验 Statistic Value F Value Num df Den df pr>f Wilks' Lambda 0.54561620687 Pillais trace 0.45438380687 444 0.0004 0.0004 Hotelling-Lawley Trace 0.83279015 6.87 33 0.0004 Roy's 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 F Model 0.874667910.8746679116900.0002 E rror 361.863008400.05175023 Corrected total 37 2.73767632 两类企业间有显著性差异。 Dependent Variable: X2 Sum of S ource DF Squares Mean square f value pr> F Model 10.083120770.083120771.950.1710 Error 361.533700280.04260279 Corrected total 37 1.61682105 两淡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 F Model 1164695844316.4695844321.45<.0001 E rror 3627.640805040.76780014 Corrected total 37 44,11038947 Dependent Variable: X4 Sum of Source DF 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