Concept

# Linear model

Summary
In statistics, the term linear model is used in different ways according to the context. The most common occurrence is in connection with regression models and the term is often taken as synonymous with linear regression model. However, the term is also used in time series analysis with a different meaning. In each case, the designation "linear" is used to identify a subclass of models for which substantial reduction in the complexity of the related statistical theory is possible. Linear regression models Linear regression For the regression case, the statistical model is as follows. Given a (random) sample (Y_i, X_{i1}, \ldots, X_{ip}), , i = 1, \ldots, n the relation between the observations Y_i and the independent variables X_{ij} is formulated as :Y_i = \beta_0 + \beta_1 \phi_1(X_{i1}) + \cdots + \beta_p \phi_p(X_{ip}) + \varepsilon_i \qquad i = 1, \ldots, n where \phi_1, \ldots, \phi_p may be no
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