## Call: ## glm (formula = decision ~ log. temps. lect + temps. tele + nbre . revues, # # family = binomial (link = "logit"), data = abonnements) ## Deviance Residuals: # # Min 10 Median 30 Max -2.1561 -0. 9005 0 . 3187 0. 7894 2. 4417 # # ## Coefficients: # # Estimate Std. Error z value Pr (>|21) ## (Intercept) 1. 72732 2. 14464 0. 805 0. 42058 ## log . temps. lect 0. 41427 0. 46457 0. 892 0.37254 ## temps . tele -0. 04610 0. 01725 -2. 672 0. 00754 * * ## nbre . revues -0.16670 0. 18975 -0. 879 0. 37967 # # ## Signif. codes: 0 ! *# # ' 0. 001 " *# ' 0. 01 141 0. 05 '. ' 0.1 ' 1 1 ## (Dispersion parameter for binomial family taken to be 1) # # Null deviance: 82.108 on 59 degrees of freedom ## Residual deviance: 60.978 on 56 degrees of freedom ## AIC: 68 . 978 ## Number of Fisher Scoring iterations: 5 anova (abonnements . glm, test="Chisg") ## Analysis of Deviance Table ## Model: binomial, link: logit ## Response: decision ## Terms added sequentially (first to last) # # Df Deviance Resid Df Resid Dev Pr (>Chi) # # NULL 59 82 . 108 ## log . temps. lect 1 11. 7855 58 70.322 0. 0005969 + +* ## temps . tele 1 8. 5631 57 61 . 759 0. 0034305 * * ## nbre . revues 1 0. 7807 56 60. 978 0.3769119 ## Signif. codes: 0 ' * *# 1 0. 001 "# # ' 0.01 "+ 1 0.05 1. ' 0.1 . . 1