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Mahadevan.S

Lean Six Sigma Black Belt
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  1. In Addition to my previous question, i would like to understand, what would be acceptable R-square value for ordinal regression? is it realist to expect to R-square > 0.50? Regards Mahadevan.S
  2. i am doing ordinal logistic regression using minitab, please find the results as below. when i asked my friend to cross check the results in "R" for the same data set, i was surprised to see different results come up. what was even more peculiar is that the coef no's seem to be similar however Minitab was showing -ve values where "R" was throwing +ve values and vice versa. i am curious to know why this happens and which result should i consider? Coedf(Minitab) Coef( r ) overall Rating -2.86% 2.86% Parameter (A) 1.30% -1.30% Parameter ( 9.24% -9.24% Parameter © 7.11% -7.16% Parameter(D) 6.79% -6.79% Raw data as below..( overall rating = Y, Parameters(A,B,C,D,E)=X's) Rating Scale of (1-5), 1 being lowest, 5 being highest Overall Rating Parameter(A) Parameter( Parameter( C ) Parameter (D) Parameter ( E ) 2 4 1 5 4 5 2 3 3 4 1 2 3 1 2 5 1 2 5 5 1 4 5 2 4 2 3 4 2 5 5 2 2 3 5 4 1 5 5 4 4 3 2 1 5 1 2 5 1 4 2 4 1 4 4 1 3 4 4 1 2 2 1 3 1 4 1 5 3 4 5 4 4 5 5 2 5 4 3 1 1 2 5 5 4 2 1 2 3 5 5 5 3 1 3 5 5 4 1 2 4 3 2 5 3 2 3 2 3 3 2 2 3 4 1 3 2 5 2 3 1 3 1 5 4 5 3 2 2 4 3 2 5 2 2 4 1 5 4 3 1 1 1 4 3 3 4 1 1 4 2 5 4 3 3 5 3 5 4 2 2 3 4 5 1 3 1 3 5 1 1 4 4 3 5 5 2 2 4 5 5 5 5 4 2 2 4 1 5 1 3 3 3 2 3 3 2 2 3 5 3 1 5 4 1 1 1 2 4 5 5 4 1 2 4 1 1 5 5 5 5 4 5 2 5 3 3 1 5 5 4 5 2 3 5 2 5 4 3 3 4 2 1 3 3 4 4 1 5 2 3 3 2 4 5 3 5 4 5 4 2 1 1 2 3 2 4 4 2 5 4 2 1 5 1 5 5 2 1 5 1 5 2 3 3 2 3 5 1 3 2 4 4 3 1 1 2 3 4 2 1 3 3 1 3 5 2 2 5 2 3 5 2 3 5 5 3 4 2 2 1 1 4 5 5 2 4 1 2 3 1 5 5 2 1 4 1 5 4 5 2 3 1 4 1 3 4 5 1 3 5 2 1 1 4 1 5 4 4 5 2 2 1 1 2 4 1 1 4 1 1 3 2 1 4 3 3 1 5 5 2 3 1 4 3 5 3 3 2 4 3 4 5 3 3 4 2 5 1 2 1 2 3 5 1 1 1 5 1 1 2 3 3 1 2 4 4 4 3 4 2 3 5 1 4 4 1 4 2 4 3 3 5 1 5 1 3 1 1 2 5 2 4 1 5 3 2 3 5 3 1 5 4 1 5 4 1 5 1 3 2 4 2 1 4 4 1 4 1 2 1 5 5 2 4 2 3 2 5 1 1 2 2 1 5 1 4 2 5 3 2 5 1 1 2 1 1 2 5 5 4 1 3 5 3 1 3 1 1 5 2 2 5 3 5 5 4 2 1 4 1 5 3 2 1 3 5 2 5 4 5 3 3 2 4 5 4 2 4 5 1 4 2 4 1 5 1 2 3 4 5 5 3 4 5 3 2 4 4 3 3 4 2 5 4 4 1 3 5 2 1 2 3 2 2 5 3 5 3 1 4 3 3 3 4 5 1 4

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