Population Regression Model Intercept
In the population regression model $$\mu_y = \alpha + \beta*x$$, which of the following best describes the interpretation of the intercept $$\alpha$$?
A
It represents the average change in $$y$$ for a one-unit change in $$x$$.
B
It measures the spread or variability of $$y$$ about the regression line.
C
It is the expected value of $$y$$ when $$x = 0$$, provided that $$x = 0$$ is within the range of observed data.
D
It indicates the strength of the linear relationship between $$x$$ and $$y$$.
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