What is the meaning of \( \beta_0 \) in regression?
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\( \beta_0 \) is the intercept, representing the predicted value of \( y \) when \( x = 0 \).
\( \beta_0 \) is the intercept, representing the predicted value of \( y \) when \( x = 0 \).
In regression, β0 represents the y-intercept of the regression line. In simple terms, it is the predicted value of the dependent variable when all the independent variables are equal to zero. It shows where the line crosses the y-axis in the graph of the regression model.