Method
Link function Logit
Rows used 50
Forward Selection of Terms
Achieved minimum AICc = 243.23
Response Information
Event
Variable Value Count Name
Passable Color Event 4235 Event
Non-event 765
Trials Total 5000
Coded Coefficients
Term Coef SE Coef VIF
Constant 2.394 0.145
Bake Time 0.7349 0.0538 1.11
Bake Temperature 2 0.5451 0.0541 1.20
Bake Time*Bake Time -0.384 0.153 1.04
Bake Time*Bake Temperature 2 -0.5106 0.0562 1.24
Odds Ratios for Continuous Predictors
Unit of Odds 95%
Change Ratio CI
Bake Time 2 * (*, *)
Bake Temperature 2 15 * (*, *)
Odds ratios are not calculated for predictors that are included in interaction
terms because these ratios depend on values of the other predictors in the
interaction terms.
Model Summary
Deviance Deviance
R-Sq R-Sq(adj) AIC AICc BIC
95.81% 95.29% 241.87 243.23 251.43
Goodness-of-Fit Tests
Test DF Chi-Square P-Value
Deviance 45 32.28 0.922
Pearson 45 31.93 0.929
Hosmer-Lemeshow 8 7.10 0.526
Analysis of Variance
Source DF Adj Dev Adj Mean Chi-Square P-Value
Model 4 737.452 184.363 737.45 0.000
Bake Time 1 203.236 203.236 203.24 0.000
Bake Temperature 2 1 100.432 100.432 100.43 0.000
Bake Time*Bake Time 1 6.770 6.770 6.77 0.009
Bake Time*Bake Temperature 2 1 80.605 80.605 80.61 0.000
Error 45 32.276 0.717
Total 49 769.728
Regression Equation in Uncoded Units
P(Event) = exp(Y')/(1 + exp(Y'))
Y' = -11.984 + 3.361 Bake Time + 0.08740 Bake Temperature 2
- 0.0961 Bake Time*Bake Time - 0.01702 Bake Time*Bake Temperature 2
Fits and Diagnostics for Unusual Observations
Observed
Obs Probability Fit Resid Std Resid
1 0.9800 0.9376 2.0298 2.13 R
7 0.9800 0.9396 1.9581 2.00 R
24 0.9000 0.9497 -2.0182 -2.15 R
R Large residual