Missing Completely at Random (MCAR) is a type of missing data mechanism where the likelihood of data being missing is unrelated to the data itself, either observed or unobserved. This implies that any analysis performed on the observed data will not be biased due to the missingness, making it the most straightforward missing data mechanism to handle statistically.