80.0% of original grouped cases correctly classified. In cross validation, each case is classified by the functions derived from all cases other than that case. Cross validation is done only for those cases in the analysis. Prior Probabilities for Groups Cases Used in Analysis R Pass Fail TotalPrior.
Unstandardized canonical discriminant functions evaluated at group meansĬlassification StatisticsClassification Processing Summary Processed Excluded Missing or out-of-range group codes At least one missing discriminating variable Used in Output 30 0 0 30 250 -.039 -13.230 Unstandardized coefficients Functions at Group Centroids Function R Pass Fail 1. Canonical Discriminant Function Coefficients Function 1 Writtentest GD PI (Constant). 196 Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function. 287 -.048 Structure Matrix Function 1 Writtentest PI GD. Standardized Canonical Discriminant Function Coefficients Function 1 Writtentest GD PI 1.000. 159 1.000Īnalysis 1 Summary of Canonical Discriminant FunctionsWilks’ Lambda Test of … 1 Wilks’ Lambda. Pooled Within-Groups Matrices Writtentest Correlation Writtentest GD PI 1.000 -.083. C:\Users\Student\Desktop\experiment for disciminant analysis.sav Analysis Case Processing Summary Unweighted Cases Valid Excluded Missing or out-of-range group codes At least one missing discriminating variable Both missing or out-ofrange group codes and at least one missing discriminating variable Total N 30 0 0 0 0 30 Group Statistics Valid N (listwise) R Pass Mean Writtentest GD PI Fail Writtentest GD PI Total Writtentest GD PI 88.0000 7.6087 7.7391 77.8571 7.2857 7.1429 85.6333 7.5333 7.6000 Std. Processor Time Elapsed Time Variables Created or Dis_2 Modified Number of unweighted cases written to the working file after classification 0:00:00.031 0:00:00.021 Predicted Group for Analysis 1 30 T11:02:55.740Īctive Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing DISCRIMINANT /GROUPS=R(1Ģ) /VARIABLES=Writtentest GD PI /ANALYSIS ALL /SAVE=CLASS /PRIORS EQUAL /STATISTICS=MEAN STDDEV RAW CORR TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded. In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. DiscriminantNotes Output Created Comments Input Data C: \Users\Student\Desktop\experiment for disciminant analysis.sav DataSet1 30 User-defined missing values are treated as missing in the analysis phase.