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The JMP output of a linear discriminate analysis of the performance data when the personnel director reclassifies the 43
Posted: Wed Jul 06, 2022 12:23 pm
by answerhappygod

- The Jmp Output Of A Linear Discriminate Analysis Of The Performance Data When The Personnel Director Reclassifies The 43 1 (111.67 KiB) Viewed 12 times
The JMP output of a linear discriminate analysis of the performance data when the personnel director reclassifies the 43 observed employees as performing either successfully (1), somewhat successfully (.5), or unsuccessfully (0) is given below. Use Figure 16.15 and Figure 16.16. a. Use the squared distances and probabilities to explain the classification of future potential employee 44. (Round your answers to 4 decimal places.) The squared distance between employee 44 and the somewhat successful group mean is The squared distance between employee 44 and the unsuccessful group mean is The squared distance between employee 44 and the successful group mean is Employee 44 is closest to the successful group so we will classify this employee as group "
b. Interpret the p-values. The p-values for Test 1 and Test 2 are for predicting employee performance. 0.05 indicating that both tests are c. Interpret the confusion matrix. (Round your answer to 1 decimal place.) From the confusion matrix, misclassification rate is %
40 41 42 43 44 0 0 0 0 81 84 Validation 1162.3622203 7.2308530212 1.523767478 21.59275986 0.05450 0.94546 0.00004 85 78 Training 1198.6048626 2.0129700451 0.5445188563 14.571298128 0.32407 0.67532 0.00061 81 71 Training 1064.7836019 11.733112969 2.8866406236 34.217247771 0.01185 0.98815 0.00000 83 77 Training 1149.0934408 4.6413119472 0.0875784113 20.600576474 0.09305 0.90691 0.00003 1423.7595217 2.903824041 14.259484826 0.6088328176 0.24075 0.00082 0.75843 93 84 0 0 0 1