Nothing
Code
blr_step_p_forward(model)
Output
Forward Selection Method
---------------------------
Candidate Terms:
1. female
2. read
3. science
We are selecting variables based on p value...
Variables Entered:
- read
- female
- science
Final Model Output
------------------
- Creating model overview.
- Creating response profile.
- Extracting maximum likelihood estimates.
- Estimating concordant and discordant pairs.
Model Overview
------------------------------------------------------------------------
Data Set Resp Var Obs. Df. Model Df. Residual Convergence
------------------------------------------------------------------------
data honcomp 200 199 196 TRUE
------------------------------------------------------------------------
Response Summary
--------------------------------------------------------
Outcome Frequency Outcome Frequency
--------------------------------------------------------
0 147 1 53
--------------------------------------------------------
Maximum Likelihood Estimates
-----------------------------------------------------------------
Parameter DF Estimate Std. Error z value Pr(>|z|)
-----------------------------------------------------------------
(Intercept) 1 -12.7772 1.9755 -6.4677 0.0000
read 1 0.1035 0.0258 4.0186 1e-04
female1 1 1.4825 0.4474 3.3139 9e-04
science 1 0.0948 0.0305 3.1129 0.0019
-----------------------------------------------------------------
Association of Predicted Probabilities and Observed Responses
---------------------------------------------------------------
% Concordant 0.8561 Somers' D 0.7147
% Discordant 0.1425 Gamma 0.7136
% Tied 0.0014 Tau-a 0.2794
Pairs 7791 c 0.8568
---------------------------------------------------------------
Selection Summary
----------------------------------------------------
Variable
Step Entered AIC BIC Deviance
----------------------------------------------------
1 read 183.0630 189.6596 179.0630
2 female 176.8874 186.7824 170.8874
3 science 168.2364 181.4296 160.2364
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