Which of the following represents a regression model? A)= f(X₁, X₂, ..., X_k) B)= f(X₁, X₂, ..., X_k) + $\varepsilon$ C)Y = f(X₁, X₂, ..., X_k) D)Y = f(X₁, X₂, ..., X_k) + $\varepsilon$

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A regression model is a statistical model that attempts to predict the value of a dependent variable (Y) based on the values of one or more independent variables (X). The model is typically represented by an equation of the form Y = f(X₁, X₂, ..., X_k) + $\varepsilon$, where f is a function that maps the independent variables to the dependent variable, and $\varepsilon$ is a random error term that represents the difference between the predicted value and the actual value.

Which of the Following Represents a Regression Model? A)= F(X1 ε\varepsilonε

Which of the Following Represents a Regression Model?
A)= F(X₁ $\varepsilon$