Which statement is NOT true regarding results produced by the Regression node?

The statement that is not true regarding the results produced by the Regression node is the assertion that Fit Statistics can provide information that affects decision predictions but does not affect estimate predictions. In fact, Fit Statistics are critical for evaluating the performance and predictive ability of a regression model. They include values such as R-squared, adjusted R-squared, and RMSE, which are essential for assessing the model's accuracy for both decision-making and estimation purposes.

Fit Statistics serve to gauge how well the model predicts the target variable, impacting both categories of predictions. They help in understanding the reliability of the model's predictions and guide decisions about model improvements or selection. Because they play a vital role in evaluating the estimates that the model provides, this statement does not accurately reflect the importance of Fit Statistics, making it the incorrect option among the choices presented.

The other options accurately describe aspects of the Regression node's output. Variable Summary provides clear roles for the variables utilized, Model Information includes essential details about the target and model parameters, and Type 3 Analysis of Effects focuses on how each input contributes to the overall model. Each of these components enhances the understanding and interpretation of the regression analysis results.