Impact of Gender and Demographic Factors on Smoking Behavior Prediction

The relationship between smoking habits and gender, that is affected by demographic variables like age, income level, and education level, is illustrated. Using the Chi-square test for independence, we identified significant associations with gender on smoking behavior. EDA further revealed crucial trends and disparities in prevalence of smoking among different groups of demographic variables. We develop a classification model to identify the significant predictors for smoking behavior from the factors mentioned above. Further, we conduct Principal Component Analysis for reducing the dimension of data to see which factors are more significantly influential for smoking behavior. The results of the research give us the understanding that can be applied towards the formulation of targeted public health strategies that could effectively reduce the prevalence of smoking.