The expected estimate for resale value of a car is most significant in the field of present research and technology. Most significant attributes are considered for predicting the resale value of the car. The significant relationships among various attributes are found by establishing the correlations. In this research the price of the car is considered as dependent variable for target prediction .The data used for prediction was taken from web. The suitability of linear regression algorithm is identified and implemented in this research work for accurately predicting the resale value of the vehicle based on most significant attributes that are been selected on the basis of highest correlation. The outcome of the research shows that the accuracy of the model built is upto 90 percent and error obtained is 10 percent.

Keywords : Machine Learning , Prediction, Linear regression, Target , Correlation