绒山羊体尺、绒毛性状与经济性状的多元统计分析

应用多元统计方法,分析了绒山羊体尺、绒毛性状与经济性状间的相关关系。结果表明,体长(x2)、胸围(x3)、管围(x4)、毛长(x6)与体重(y1)之间呈极显著正相关(P<0.01),最优回归方程为y1=-46.306+0.327x2+0.587x3+0.780x4+0.288x6,回归方程的复相关系数为0.901(P<0.01),用其估测绒山羊体重有95%以上的可靠性。胸围对体重的影响最大,而体长、管围、毛长通过胸围间接影响体重;绒长对产绒量影响最大,但是单就体高、体长、胸围、管围、毛长、绒长与产绒量之间并不能找到最优回归方程。

Multiple statistical analysis of the effect of body measurerment,wool trait and economic trait on cashmere goat

The correlation of body measurement,wool trait and economic trait on cashmere goat was studied by using multiple statistical analysis.It showed that there were positive significant correlation between body length,heart girth,circumference,wool length and body weight (P<0.01).The optimal multiple liner regression equation is:y_1=-46.306+0.327x_2+0.587x_3+0.780x_4+0.288x_6.The multiple correlation cofficient of regression equation is 0.901(P<0.01).By estimating the weight with muliple correlation cofficient,the reliablitity is above 95%.To weight,the effect of heart girth is the largest,but the boby legth,circumference of cannon bone,wool length influence weight indirectly by girth.To wool production,the effect of wool length is the largest,but we do not get the regression equation from the relationship of height,body length,heart girth,wool length,cashmere length.