Analysis of linear regression on used car sales in Indonesia

Abstract

There are few things that drive the business of selling used cars in Indonesia continues to increase, namely new car prices are higher. So the prospective buyers the ability to purchase power not too strong, buying a used car is one option. Linear regression is a statistical analysis of several variables relationship model according to the form of the relationship of linear equations explicitly. The purpose of this research is to apply the method of Linear Regression on selling used car Toyota Innova, and Honda CRV in Indonesia, especially in the cities of Jakarta, Bandung, Surabaya, and Semarang. Used car sales prices are influenced by the age factor car, car mileage, color car, car transmission, and car type. The results showed, an analysis of age factor car sharing and car has a mileage rating of 62.6% level of confidence. By adding some other variable that is the color of the car, the transmission and the cities of car sales has a value of more than 75% accuracy.