The rise in global temperatures, frequent natural disasters and rising sea levels, reducing Polar Regions have made the problem of understanding and predicting these global climate phenomena. Prediction is a matter of prime importance and they are run as computer simulations to predict climate variables such as temperature, precipitation, rainfall and etc. The agricultural country called India in which 60% of the people depending upon the agriculture. Rain fall prediction is the most important task for predicting early prediction of rainfall May helps to peasant's as well as for the people because most of the people in India can be depends upon the agriculture. The paper represents simple linear regression technique for the early prediction of rainfall. It can helps to farmers for taking appropriate decisions on crop yielding. As usually at the same time there may be a scope to analyze the occurrence of floods or droughts. The simple linear regression analysis methodology applied on the dataset collected over six years of Coonor in Nilagris district from Tamil Nadu state. The experiment and our simple linear regression methodology exploit the appropriate results for the rain fall.

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