ABSTRACT
This chapter presents an attempt to use linear regression analysis in landslide assessment on cut slopes along three mountainous roads in peninsular Malaysia. Landslide is one of the most significant natural hazards in Malaysia after floods. The accuracy or reliability in predicting future landslides is crucial in any landslide hazard assessment. Incorrect prediction will expose lives and economy to danger or hazard if a slope or an area that should has a High Hazard Level is incorrectly predicted as Low Hazard Level. The new developed model shows a good capability in predicting landslides in the granitic formation terrain. Statistical Package for the Social Science software was used to analyze the slopes data. In the stepwise linear regression analysis, the slope data of the failed and stable group was lump together and analyzed step-by-step to determine the best parameter that fit the linear equation model of both the failed and stable groups.
