Linear Regression Analysis

Linear regression analysis is a statistical method used to understand the relationship between a dependent variable (what you're trying to predict) and one or more independent variables (factors that influence it). It finds the straight-line equation that best fits the data, allowing you to estimate the dependent variable based on the independent variables. For example, predicting house prices based on size and location. By analyzing data patterns, linear regression helps identify how changes in input factors relate to changes in the outcome, providing a useful tool for making predictions and understanding relationships in various fields.