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Topic:linear models

Linear models are a type of statistical model that assume a linear relationship between the independent variables and the dependent variable. These models are commonly used in regression analysis to predict the value of the dependent variable based on the values of the independent variables. Linear models are characterized by having a linear equation that represents the relationship between the variables. This equation can include multiple independent variables and coefficients that represent the strength of the relationship between each independent variable and the dependent variable. Linear models are widely used in various fields including economics, engineering, and social sciences for predicting outcomes and understanding the relationships between variables. Common types of linear models include simple linear regression, multiple regression, and analysis of variance (ANOVA). These models are relatively simple and easy to interpret, making them popular choices for many research studies.