Graphic analysis interprets data primarily through which method?

Graphic analysis leverages visual representation and curve fitting as its primary method for interpreting data. This approach allows appraisers to visualize patterns, trends, and relationships within the data sets they are analyzing. By creating graphs, charts, or plots, one can easily identify correlations and anomalies that may not be readily apparent through numerical data alone.

Curve fitting is an essential part of this process, as it involves creating a mathematical model that best represents the observed data points. This model can help appraisers make predictions about future trends based on historical patterns, contributing to more informed and accurate assessments.

In contrast, statistical inference involves making conclusions about populations based on sample data, which is not the primary focus of graphic analysis. Paired data evaluation typically pertains to comparing two sets of data, while market condition review is broader and pertains to understanding the overall market environment, neither of which directly aligns with the core methodology of graphic analysis. Thus, visual representation and curve fitting are fundamental to interpreting data in this context.