SLR Modeling

SLR Modeling, or Simple Linear Regression Modeling, is a way to understand the relationship between two variables—one independent (predictor) and one dependent (outcome). It uses a straight-line equation to predict the dependent variable based on the independent variable’s value. For example, it might predict house prices based on square footage. The model finds the best-fitting line that minimizes differences between actual and predicted values. This approach helps identify trends and make predictions, providing insights into how changes in one variable may influence another.