The FREQ Procedure Table 1 of Muser by Soft Controlling for Brand=M Temp=High Muser Soft Frequency|Hard |Medium |Soft | Total ---------+--------+--------+--------+ N | 30 | 23 | 27 | 80 ---------+--------+--------+--------+ Y | 43 | 47 | 29 | 119 ---------+--------+--------+--------+ Total 73 70 56 199 Table 2 of Muser by Soft Controlling for Brand=M Temp=Low Muser Soft Frequency|Hard |Medium |Soft | Total ---------+--------+--------+--------+ N | 42 | 50 | 53 | 145 ---------+--------+--------+--------+ Y | 52 | 55 | 49 | 156 ---------+--------+--------+--------+ Total 94 105 102 301 Table 3 of Muser by Soft Controlling for Brand=X Temp=High Muser Soft Frequency|Hard |Medium |Soft | Total ---------+--------+--------+--------+ N | 42 | 33 | 29 | 104 ---------+--------+--------+--------+ Y | 24 | 23 | 19 | 66 ---------+--------+--------+--------+ Total 66 56 48 170 Table 4 of Muser by Soft Controlling for Brand=X Temp=Low Muser Soft Frequency|Hard |Medium |Soft | Total ---------+--------+--------+--------+ N | 68 | 66 | 63 | 197 ---------+--------+--------+--------+ Y | 37 | 47 | 57 | 141 ---------+--------+--------+--------+ Total 105 113 120 338 The GENMOD Procedure Model Information Data Set WORK.DAT Distribution Poisson Link Function Log Dependent Variable Fr Observations Used 24 Class Level Information Class Levels Values Brand 2 M X Temp 2 High Low Muser 2 N Y Soft 3 Hard Medium Soft Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 11 32.8256 2.9841 Scaled Deviance 11 32.8256 2.9841 Pearson Chi-Square 11 32.4694 2.9518 Scaled Pearson X2 11 32.4694 2.9518 Log Likelihood 2802.4716 Algorithm converged. Analysis Of Parameter Estimates Standard Parameter DF Estimate Error Intercept 1 3.9782 0.1020 Brand M 1 -0.0159 0.0630 Brand X 0 0.0000 0.0000 Temp High 1 -0.7922 0.1740 Temp Low 0 0.0000 0.0000 Muser N 1 0.0902 0.1344 Muser Y 0 0.0000 0.0000 Temp*Muser High N 1 0.0640 0.2382 Temp*Muser High Y 0 0.0000 0.0000 Temp*Muser Low N 0 0.0000 0.0000 Temp*Muser Low Y 0 0.0000 0.0000 Soft Hard 1 -0.1748 0.1438 Soft Medium 1 -0.0385 0.1387 Soft Soft 0 0.0000 0.0000 Temp*Soft High Hard 1 0.5083 0.2375 Temp*Soft High Medium 1 0.4158 0.2331 Temp*Soft High Soft 0 0.0000 0.0000 Temp*Soft Low Hard 0 0.0000 0.0000 Temp*Soft Low Medium 0 0.0000 0.0000 Temp*Soft Low Soft 0 0.0000 0.0000 Muser*Soft N Hard 1 0.1217 0.1959 Muser*Soft N Medium 1 0.0385 0.1910 Muser*Soft N Soft 0 0.0000 0.0000 Muser*Soft Y Hard 0 0.0000 0.0000 Muser*Soft Y Medium 0 0.0000 0.0000 Muser*Soft Y Soft 0 0.0000 0.0000 Temp*Muser*Soft High N Hard 1 -0.2039 0.3254 Temp*Muser*Soft High N Medium 1 -0.4158 0.3276 Temp*Muser*Soft High N Soft 0 0.0000 0.0000 Temp*Muser*Soft High Y Hard 0 0.0000 0.0000 Temp*Muser*Soft High Y Medium 0 0.0000 0.0000 Temp*Muser*Soft High Y Soft 0 0.0000 0.0000 Temp*Muser*Soft Low N Hard 0 0.0000 0.0000 Temp*Muser*Soft Low N Medium 0 0.0000 0.0000 Temp*Muser*Soft Low N Soft 0 0.0000 0.0000 Temp*Muser*Soft Low Y Hard 0 0.0000 0.0000 Temp*Muser*Soft Low Y Medium 0 0.0000 0.0000 Temp*Muser*Soft Low Y Soft 0 0.0000 0.0000 Scale 0 1.0000 0.0000 Analysis Of Parameter Estimates Wald 95% Confidence Limits Chi- Parameter Lower Upper Square Intercept 3.7782 4.1782 1520.22 Brand M -0.1393 0.1076 0.06 Brand X 0.0000 0.0000 . Temp High -1.1332 -0.4513 20.74 Temp Low 0.0000 0.0000 . Muser N -0.1732 0.3535 0.45 Muser Y 0.0000 0.0000 . Temp*Muser High N -0.4029 0.5309 0.07 Temp*Muser High Y 0.0000 0.0000 . Temp*Muser Low N 0.0000 0.0000 . Temp*Muser Low Y 0.0000 0.0000 . Soft Hard -0.4566 0.1070 1.48 Soft Medium -0.3103 0.2334 0.08 Soft Soft 0.0000 0.0000 . Temp*Soft High Hard 0.0427 0.9739 4.58 Temp*Soft High Medium -0.0412 0.8727 3.18 Temp*Soft High Soft 0.0000 0.0000 . Temp*Soft Low Hard 0.0000 0.0000 . Temp*Soft Low Medium 0.0000 0.0000 . Temp*Soft Low Soft 0.0000 0.0000 . Muser*Soft N Hard -0.2623 0.5057 0.39 Muser*Soft N Medium -0.3359 0.4128 0.04 Muser*Soft N Soft 0.0000 0.0000 . Muser*Soft Y Hard 0.0000 0.0000 . Muser*Soft Y Medium 0.0000 0.0000 . Muser*Soft Y Soft 0.0000 0.0000 . Temp*Muser*Soft High N Hard -0.8416 0.4339 0.39 Temp*Muser*Soft High N Medium -1.0578 0.2263 1.61 Temp*Muser*Soft High N Soft 0.0000 0.0000 . Temp*Muser*Soft High Y Hard 0.0000 0.0000 . Temp*Muser*Soft High Y Medium 0.0000 0.0000 . Temp*Muser*Soft High Y Soft 0.0000 0.0000 . Temp*Muser*Soft Low N Hard 0.0000 0.0000 . Temp*Muser*Soft Low N Medium 0.0000 0.0000 . Temp*Muser*Soft Low N Soft 0.0000 0.0000 . Temp*Muser*Soft Low Y Hard 0.0000 0.0000 . Temp*Muser*Soft Low Y Medium 0.0000 0.0000 . Temp*Muser*Soft Low Y Soft 0.0000 0.0000 . Scale 1.0000 1.0000 Analysis Of Parameter Estimates Parameter Pr > ChiSq Intercept <.0001 Brand M 0.8011 Brand X . Temp High <.0001 Temp Low . Muser N 0.5023 Muser Y . Temp*Muser High N 0.7882 Temp*Muser High Y . Temp*Muser Low N . Temp*Muser Low Y . Soft Hard 0.2240 Soft Medium 0.7815 Soft Soft . Temp*Soft High Hard 0.0324 Temp*Soft High Medium 0.0745 Temp*Soft High Soft . Temp*Soft Low Hard . Temp*Soft Low Medium . Temp*Soft Low Soft . Muser*Soft N Hard 0.5345 Muser*Soft N Medium 0.8404 Muser*Soft N Soft . Muser*Soft Y Hard . Muser*Soft Y Medium . Muser*Soft Y Soft . Temp*Muser*Soft High N Hard 0.5310 Temp*Muser*Soft High N Medium 0.2044 Temp*Muser*Soft High N Soft . Temp*Muser*Soft High Y Hard . Temp*Muser*Soft High Y Medium . Temp*Muser*Soft High Y Soft . Temp*Muser*Soft Low N Hard . Temp*Muser*Soft Low N Medium . Temp*Muser*Soft Low N Soft . Temp*Muser*Soft Low Y Hard . Temp*Muser*Soft Low Y Medium . Temp*Muser*Soft Low Y Soft . Scale NOTE: The scale parameter was held fixed. LR Statistics For Type 1 Analysis Chi- Source Deviance DF Square Pr > ChiSq Intercept 118.6269 Brand 118.5634 1 0.06 0.8011 Temp 45.3514 1 73.21 <.0001 Muser 43.4301 1 1.92 0.1657 Temp*Muser 42.1770 1 1.25 0.2630 Soft 41.6756 2 0.50 0.7782 Temp*Soft 35.5765 2 6.10 0.0474 Muser*Soft 34.4435 2 1.13 0.5675 Temp*Muser*Soft 32.8256 2 1.62 0.4453 LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Brand 1 0.06 0.8011 Temp 1 73.87 <.0001 Muser 1 1.20 0.2729 Temp*Muser 1 1.17 0.2796 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source DF Square Pr > ChiSq Soft 2 1.51 0.4712 Temp*Soft 2 6.28 0.0432 Muser*Soft 2 1.70 0.4267 Temp*Muser*Soft 2 1.62 0.4453