please respond to this in 4-5 sentences:

Public administrators often rely on statistical methods such as correlation and regression to inform decision-making and policy development. Correlation is used to identify the strength and direction of relationships between two variables. For instance, a public health administrator might examine the correlation between vaccination rates and the incidence of infectious diseases in a community. They can advocate for increased vaccination efforts to improve community health outcomes by identifying a strong negative correlation. Regression analysis, on the other hand, delves deeper by not only assessing relationships but also predicting outcomes based on independent variables. For example, a city planner might use multiple regression to analyze factors affecting traffic congestion, such as population density, public transport availability, and road infrastructure. By understanding which variables contribute most significantly to congestion, planners can prioritize investments in public transportation or road improvements. The most crucial type of regression in my workplace is multiple regression analysis. It allows us to consider various factors simultaneously, essential in complex environments like urban development or social services. For instance, when evaluating the effectiveness of a new community program, we can assess how various demographic factors (income level, education, etc.) influence program outcomes. This comprehensive approach enables us to craft targeted interventions that can effectively address the specific needs of the population we serve.