TABLE 4.

Summary results of the generalized Beta type 1 distribution (GB1) when modeling the μ (location) submodel

Family: c("GB1," "Generalized Beta type 1") Call: gamlss(formula = response ~ gender + age_band + disability + highest_education + type_of_click + number_of_clicks,family = GB1, data = na.omit(data)) Fitting method: RS() ––––––––––––––––––––––––––––––––– Mu link function: logit Mu Coefficients:

Variable	Estimate	SE	t‐value	Pr(>|t|)
Intercept	0.8790	0.1437	6.1153	0.0000***
genderm	−0.2211	0.0321	−6.8800	0.0000***
Age_band35‐55	0.1283	0.0287	4.4637	0.0000***
Age_band55<=	−0.7917	0.1518	−5.2153	0.0000***
Disability_No.disability	0.0496	0.0460	1.0792	0.2805
Highest_educationHE.Qualification	0.0790	0.0352	2.2438	0.0249*
Highest_educationLower.Than.A.Level	−0.0744	0.0260	−2.8627	0.0042**
Highest_educationNo.Formal.quals	−0.9865	0.1537	−6.4180	0.0000***
Highest_educationPost.Graduate.Qualification	0.0444	0.1794	0.2476	0.8045
Type_of_clickclicks_homepage	0.0125	0.0331	0.3780	0.7054
Type_of_clickclicks_oucontent	−0.2863	0.0385	−7.4392	0.0000***
Type_of_clickclicks_quiz	−0.0051	0.0285	−0.1770	0.8595
Type_of_clickclicks_subpage	0.0886	0.0348	2.5464	0.0109*
Number_of_clicks	0.0005	0.0000	16.2857	0.0000***