Using Linear Regression For Used Car Price Prediction

Resale Price Prediction in the Used Car Market

Price Anomalies in the Used Car Market

Using two different samples – one based on newspaper advertisements, the other Internet-based – we identify some price anomalies in the used car market in the Netherlands. First, prices of used cars depend on their age in calendar years rather than months. Second, there is some evidence that crossing 100,000 km induces a sudden additional price reduction. Third, a new license plate format, some...

Support Vector Regression Analysis for Price Prediction in a Car Leasing Application

To remain pro table under a tight competition, a leasing company has to o er a good leasing price. In order to determine the right price, it is necessary to predict the future price of a second hand car. By knowing the car's value depreciation, the leasing price could be set to cover it. The approach commonly used for a price prediction task is multiple linear regression analysis. However, ther...

Click Through Rate Prediction for Contextual Advertisment Using Linear Regression

This research presents an innovative and unique way of solving the advertisement prediction problem which is considered as a learning problem over the past several years. Online advertising is a multi-billion-dollar industry and is growing every year with a rapid pace. The goal of this research is to enhance click through rate of the contextual advertisements using Linear Regression. In order t...

Reliable Prediction Intervals for Local Linear Regression

This paper introduces two methods for estimating reliable prediction intervals for local linear least-squares regressions, named Bounded Oscillation Prediction Intervals (BOPI). It also proposes a new measure for comparing interval prediction models named Equivalent Gaussian Standard Deviation (EGSD). The experimental results compare BOPI to other methods using coverage probability, Mean Interv...