A linear estimator is a type of statistical method used to estimate unknown parameters in a linear model. It involves fitting a linear equation to a set of data points in order to predict or estimate a continuous outcome variable based on one or more predictor variables. The goal of a linear estimator is to find the line that best represents the relationship between the variables and minimizes the errors in prediction. This method is commonly used in regression analysis and is based on the assumption that the relationship between variables can be adequately captured by a straight line. Linear estimators are simple and easy to interpret, making them a popular choice for many research applications.