I understand total variance and R squared in linear regression outputs, but I have difficulty to understand the percent of variation explained by each covariates in a multiple regression analysis. I have two question. 1. How could I explaine the %var explained by one covariates in multiple regression?. 2. Above all how could implement this in Stata or R?. A paper on Table 4, page 7 of the link below has provided such output. Could anyone explain the 1.3% output of Gas stove? The adjusted R squared for the whole regression is 0.79 and the % variance explained by the covariates is 56.8. What does explain the rest?