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The intercept parameter, often denoted as ( b_0 ) in a linear regression equation, represents the expected value of the dependent variable when all independent variables are equal to zero. It essentially serves as the baseline value of the outcome variable in the absence of any predictors. In graphical terms, it is the point where the regression line intersects the y-axis. The intercept is crucial for interpreting the model, especially when assessing the influence of other variables.

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