Suppose we created the linear regression model \\[ \\widehat{Y}=b_{0}+b_{1}(X) \\] A scatter plot for the predicted value and the prediction errors from this model, which is shown below, suggests that there is not a clear pattern between the predicted values and the prediction errors. What does this mean? It means that the model \"fits\" the data; the trend in the model follows the same general trend seen in the data. It means that the model does not \"fit\" the data; the trend in the model does not follow the same general trend seen in the data. We do not have enough information to make either of the conclusions above