Answer: False
Step-by-step explanation: False. Linearity is a property of a mathematical model or equation, not of the residuals of that model. In general, the residuals of a model should be randomly dispersed across the values of a predictor variable if the model is a good fit for the data, but this is not a justification for linearity. Linearity refers to the relationship between the predictor and response variables in a model, and whether that relationship can be adequately represented by a straight line.