A statistical study of factors affecting urban female literacy in Maharashtra

The study will provide an appraisal of the factors that have a vital influence on the female literacy in the State of Maharashtra in urban areas. Eleven factors are used in the study of the variables affecting the female literacy rate in the urban data of Maharashtra. Principal Component Analysis method is used in the study. It is observed that four Principal Components have Eigen values more than one with total variance explained as 87.878 percent. A Varimax rotation method with Kaiser Normalization is used so that variable loads highly on a single factor and has small to moderate loadings on the remaining. Depending on the loading of a variable in Rotated Component Matrix the variables are categorized into four components.