Snow's linear regression model

Snow's linear regression model is a statistical method that finds a straight-line relationship between a set of input variables (like factors affecting health) and an outcome (such as disease rates). It identifies the best line that predicts the outcome based on these inputs by minimizing differences between the predicted and actual values. Essentially, it helps us understand and quantify how changes in the inputs influence the result, allowing for better predictions and insights into the underlying relationships within the data.