Interpreting Linear Regression Components
I. The scatterplot provided displays a clear linear trend, supporting the linearity assumption of the regression model.
II. The residuals plot for this data would most likely show a random scatter around zero if the model is appropriate.
III. The equation $$y=2*x+3$$ implies that for every unit increase in $$x$$, $$y$$ increases by 2 units.
Which of these statements are true based on the scatterplot and the fitted regression line?