Most of the researches keep on focusing on land use change in general, but little has been exemplified on the arable land in cause and effect relationship. This research carries out on the base of quantitative analysis and more attention on the quantitative study on the cause and effect relationship and hence creating the agricultural or arable land use model within the period of 1987 to 2017. The paper entails to discuss and analyse the land resources characteristics of the change of arable land in Tanzania according to the arable land area and relevant factors affecting the land resources mainly here referred to arable land. Linear regression analysis with Cochrane-Orcutt and Prais-Winsten estimation methods by using SPSS 22.0 software method was adopted to carry out quantitative analysis on the driving factors of arable land and its change in Tanzania. This paper also establishes the multiple regression model of driving factors on arable land area. Finally, some corresponding suggestions and discussions were put forward. The research results give valuable information for decision-makers to design sustainable arable land resources management strategies and national land allocation policies among the land-based sector within the case of Tanzania as well as other African nations.