Table 17

Regression Analysis of the Main Effects of Independent
Variables for Rectocolon Cancer



Source df F P



Model 20 2.56 .0007
 Age 1 2.45 .1196
 Sex 1 3.12 .0797
 Race 1 0.66 .4197
 Stage 5 4.46 .0009
 Histology 1 0.19 .6602
 Initial treatment 6 0.66 .6831
 Subsequent treatment 5 0.74 .5971


 R2 = .2752


 The second regression analysis of the rectocolon cancer

cases included the same seven main effects and the following

interactions: Age x Stage, Age x Histology, Age x Initial

Treatment, Age x Subsequent Treatment, Race x Stage, Stage x

Initial Treatment, and Age x Stage x Initial Treatment. This

regression was also significant with F (53, 102) = 1.68, p =

.0130 and R2 = .47. Of the interactions studied, the partial

regression coefficient of only one was significant. It was

Age x Subsequent Treatment F (3, 102) = 3.48, p = .0185.

 These findings were used to develop two additional

regression models with few independent variables. Once

again, at this point in the analysis, the dependent variable

was transformed by taking its natural log.