In regression analysis, we consider models of the form: Y = f(X₁, X₂, ..., X_k) + $\varepsilon$

Name: In regression analysis, we consider models of the form: Y = f(X 1 , X 2 , ..., X k ) + $\varepsilon$
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The given statement describes a regression model where the dependent variable Y is a function of k independent variables (X₁, X₂, ..., X_k) and an error term (F1S1εF1S10). The coefficients of the independent variables are denoted by B1, B2, ..., Bk and the constant term by B0.

​In Regression Analysis, We Consider Models of the Form: Y ε\varepsilonε

In Regression Analysis, We Consider Models of the Form: Y $\varepsilon$