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. Predicted Value of \\( Y \\) What does this mean? It means there there is either no correlation or an incredibly weak correlation between \\( \\mathrm{X} \\) and \\( \\mathrm{Y} \\). It means that there is a very strong correlation between \\( \\mathrm{X} \\) and \\( \\mathrm{Y} \\). We do not have enough information to make either of the conclusions above