A Novel S-Regression Model on an Auto Price

  • Authors

    • Fadzilah Salim
    • Nur Azman Abu
    2018-05-22
    https://doi.org/10.14419/ijet.v7i2.29.14282
  • S-Regression model, S-shaped curve, Prediction on used car price

  • Abstract

    A simple linear regression model is useful in a prediction model. A general linear regression beyond a single independent variable is still not popular. A nonlinear regression can be easily produced a better predictive model but it is difficult to construct. The objective of this paper is to propose a technique for predicting the price of used cars in Malaysia using S-shaped curve model. In this paper, the S-shaped Membership Function [SMF] is used as the basis to develop a novel S-Regression model. Comparisons between linear regression, cubic regression and S-Regression have been made on the used car prices. The mean squared error of S-Regression model is found to be closer to cubic regression than the linear regression. S-Regression model is found to be quite suitable to represent the relationship between the price of a used car and the make year of a car. The result demonstrates that the S-Regression model gives better and practical estimate of the price of a used car in Malaysia.

     

     

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  • How to Cite

    Salim, F., & Azman Abu, N. (2018). A Novel S-Regression Model on an Auto Price. International Journal of Engineering & Technology, 7(2.29), 912-916. https://doi.org/10.14419/ijet.v7i2.29.14282

    Received date: 2018-06-18

    Accepted date: 2018-06-18

    Published date: 2018-05-22