An Application of Tobit Regression Analysis to Dairy Sector for Gujarat State

Multivariate objects when interrelated have been pressed in two forms either it can be timed stack or cross sectional. The multidimensional studies can be evaluated in third form that compiles as binary terms. As an when the required information can classify with their nature and the multivariate computations can predict confusing results. It can represent in terms of specific code these coding can be operated for multivariate tasks that caused to binary regression. This research is carried out for the dairy sector data for listed 26 district of Gujarat states for 13 various parameters. The parameters are defined based on their median. Higher the value of parameter defined as 1 and lower the median is determined as 0; than the application of OLS has been applied in terms of tobit regression. The results are derived for binary outcomes which can be extended for future estimations.