. CHAPTER 4: RESULTS AND DISCUSSIONS4.0 IntroductionThis chapter discusses the results of the analysis on the topic of factors influencing the demand for Proton cars in Malaysia. Revisions with version 7 are used to run data in order to perform analyzes of particular tests. The analysis includes multiple regression analysis, bivariate correlation, standard error of coefficient (t-test), analysis of variance (F-test), p-value analysis, coefficient of determination, Ramsey RESET test of serial correlation, serial correlation, White's test Heteroskedastic test and Granger causality test. The empirical results are presented systematically as below.4.1 Multiple Regression AnalysisMultiple regression analysis is a statistical technique to determine and model the relationship between dependent variable (DPC) and explanatory variables (INF, GDP and FP). It also explains how DPC is influenced by INF, GDP and FP. Instead, the multiple linear regression model is a relationship analysis in which the effects of two or more independent variables on a single interval-scaled or ratio-scaled dependent variable are estimated simultaneously (Gujariti and Porter, 2009). It is useful for demonstrating and interpreting the veracity of the empirical result. The double log model was chosen as the empirical model in this study because its coefficient of variation is lower than other models (Table 6.4 in the Appendix). It is linear in the logarithm of the dependent and independent variables. Therefore, the double logarithm model is used via the ordinary least squares (OLS) method to determine the elasticity of the dependent variable and independent variables. The empirical demand model for the Proton car can be represented as follows: (lnDPC) ̂=β_0+β_1 lnINF+β_2 lnG...... middle of paper ......significant for the demand for Proton car . The evidence of inflation was not a determining factor of Proton car sales because Proton cars were sold at the cheapest prices with high quality. Therefore, the increase in Proton cars during the inflation session was achieved due to consumer demand (Wan, 2013). Furthermore, for the independent variable of fuel price, the dependent variable of demand for Proton Machine does not occur. This means that the fuel price variable is not significant for the demand for Proton cars. However, many studies have found that fuel price is a significant response to proton demand. According to Johansson and Schipper (1997), vehicle types and distance traveled have been affected by the increase in fuel prices. This means that consumers continue to purchase vehicles even when the price of fuel increases.