Which of the following is a strength of MRA?

A major strength of Multiple Regression Analysis (MRA) is its ability to offer diagnostics for model accuracy. This capability is crucial in evaluating how well the model fits the data and whether the predictions made by the model are reliable. Through various statistical measures, MRA provides insights into the model's performance, indicating how well the chosen independent variables explain the variations in the dependent variable (typically property values).

These diagnostics allow appraisers to assess various aspects of the model, such as the significance of individual variables, the overall goodness of fit (often measured by R-squared values), and the potential presence of multicollinearity among variables. By having this diagnostic capability, practitioners can refine their models to improve accuracy, making data-driven decisions that can lead to more precise property valuations.

In contrast, the other options emphasize aspects that may not necessarily highlight the inherent strengths of MRA. For instance, while detailed data is indeed beneficial, it is not a strength of MRA in itself but rather a requirement. Additionally, producing separate land and building values may not be a unique strength as other methods can achieve this without MRA. Lastly, the number of sales typically can influence the robustness of the regression analysis, as more data usually leads to more stable results