Call: glm(formula = total_SP/all_SP ~ Campus + Gender + Programme +
    Total_testscore + Hours_Math_SE + Gender, family = quasibinomial(link = "logit"),
    data = starters, weights = all_SP)

Deviance Residuals:
    Min       1Q   Median       3Q      Max
-25.311   -3.541    0.167    4.634   14.491

Coefficients:
                                        Estimate Std. Error t value Pr(>|t|)     (Intercept)                            -1.091748
0.170743  -6.394 8.79e-10 *** CampusKU Leuven Campus Sint-Lucas Gent -0.004444   0.085363  -0.052  0.95853     Genderfemale                            0.093789   0.078242   1.199  0.23187     ProgrammeInt                            0.232205   0.085364   2.720  0.00702 **  Total_testscore                         0.038353   0.014448   2.655  0.00849 **  Hours_Math_SE                           0.143800   0.026413   5.444 1.32e-07 ***
--- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for quasibinomial family taken to be 40.78776)

    Null deviance: 12429.4  on 237  degrees of freedom Residual deviance:  9980.1  on 232  degrees of freedom AIC: NA

Number of Fisher Scoring iterations: 4