When drawing a line of fit for a scatter plot, why is it standard practice to ignore outliers?

Outliers are always measurement errors and must be removed.

Outliers can disproportionately affect the slope and position of the line.

Including outliers makes the calculations too complicated.

A line of fit can only be drawn with an even number of points.

A scatter plot shows a strong negative trend, but includes an outlier located far above the main cluster. If this outlier is included when drawing the line of fit, what is the likely effect?

The slope of the line will become more negative (steeper).

The slope of the line will become less negative (less steep).

The line will become a horizontal line.

There will be no effect on the line of fit.

The line should be drawn to pass directly through (1, 95).

The point (1, 95) should be ignored to represent the main trend accurately.

All other points should be ignored except for (1, 95).

The point (1, 95) should be moved closer to the other points.