Multiple Beta Regression Model with Application

This paper aims to display the concept of beta regression and modality of its utilization in the statistical application by considering the values of the response variable which are constrained by the interval(0,1) and the response variable is following beta distribution. Both Akaike and Bayesian information criteria are used to get the preferable model by applying the multiple beta regression in investigating the percentage of the sugar proportion of the resultant humid spoil to the sugar proportion of the resultant crude juice. We used statistical software R to obtain the expected results.