Population Regression Model Intercept

Question

In the population regression model $$\mu_y = \alpha + \beta x$$, which of the following best describes the interpretation of the intercept $$\alpha$$?

Accepted Answer

It is the expected value of $$y$$ when $$x = 0$$, provided that $$x = 0$$ is within the range of observed data.

Answer

It represents the average change in $$y$$ for a one-unit change in $$x$$.

Answer

It measures the spread or variability of $$y$$ about the regression line.

Answer

It indicates the strength of the linear relationship between $$x$$ and $$y$$.

Population Regression Model Intercept

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