To determine how many values would be located below the residual = 0 line in a residual plot, we need to analyze the original scatterplot.
The residuals are calculated as the difference between the observed values (from the scatterplot) and the predicted values (from the regression line):
\[ \text{Residual} = \text{Observed} - \text{Predicted} \]
- If the observed value is greater than the predicted value, the residual is positive, and the point would be above the residual = 0 line.
- If the observed value is less than the predicted value, the residual is negative, and the point would be below the residual = 0 line.
To give you an accurate response, I'd need to see the scatterplot image in question. However, if you are able to count the number of points that fall below the regression line in the original scatterplot, that will tell you how many points will have residues below 0 in the residual plot.
Please provide the scatterplot details or information, and I'd be happy to assist you further!