The term 'linear hypothesis' is often used interchangeably with 'linear model'. Linear models are widely used in behavioral and social sciences for data analysis. They are flexible tools that provide useful approximations for complex models. Linear models are used in regression analysis, analysis of variance, and other statistical methods. They are represented using matrix notation and involve estimation, testing, and model checking. Linear models are also used in generalized linear models for dependent data.