The present investigation was conducted to study the associations and path coefficients analysis of yield attributing traits for grain yield in nine rice genotypes. The study was carried out at five locations for two consecutive Kharif seasons in the years 2022 and 2023. The pooled data were subjected to association analysis and path coefficient analysis for morphological traits. Correlation analysis revealed that panicle length, number of filled spikelets per panicle, spikelet fertility percent, grain yield per ha, harvest index, and test weight showed highly significant positive associations with grain yield per plant at the phenotypic level. Among them, only panicle length and harvest index showed highly significant positive associations at genotypic levels. This indicates that panicle length and harvest index improvement could enhance grain yield. Genotypic correlations for panicle length were higher than phenotypic correlations, suggesting a strong genetic basis for the observed associations. Path coefficient analysis indicated that panicle length, days to 50% flowering, number of effective tillers per plant, number of panicles per plant, harvest index, and test weight exerted positive direct effects on grain yield per plant. Though except panicle length and harvest index all other characters showed negative correlation which is due to negative indirect effects exerted by the associated attributing characters.