Sampling error can be avoided only when the sample contains the entire population.
true or false

My only option would be to discuss each of the option as much I could. Linear positive association would be depicted by a scatter plot with data that almost forms a straight line and sloping to the right upward. As the x increases, the y increases as well. Linear negative association would be the opposite of the linear positive. The plot would sloping upward to the left. As the x increases, the value of y would decrease. Nonlinear positive association would be almost the same as the linear positive however the data do not form a line. It may be form a curve. Nonlinear negative would be also almost the same as the linear negative only that the data do not form a line.

The answer would be B