In a multiple regression model, the outcome is denoted by which symbol?

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Multiple Choice

In a multiple regression model, the outcome is denoted by which symbol?

Explanation:
The outcome in a multiple regression model is the dependent variable, typically denoted by Y. The regression equation shows Y being predicted from the input variables X1, X2, etc., with an intercept (b0) and coefficients (b1, b2, ...). A standard form is Y = b0 + b1X1 + b2X2 + ... + ε, where ε is the error term. The predicted value is often written as Ŷ, but the actual observed outcome is Y. The other symbols in the options—X for predictors and b for the coefficients (with b0 as the intercept)—do not designate the outcome.

The outcome in a multiple regression model is the dependent variable, typically denoted by Y. The regression equation shows Y being predicted from the input variables X1, X2, etc., with an intercept (b0) and coefficients (b1, b2, ...). A standard form is Y = b0 + b1X1 + b2X2 + ... + ε, where ε is the error term. The predicted value is often written as Ŷ, but the actual observed outcome is Y. The other symbols in the options—X for predictors and b for the coefficients (with b0 as the intercept)—do not designate the outcome.

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