EAPA_2025 Exam Dumps : ArcGIS Pro Associate 2025

The asterisk on the Koenker statistic indicates non-stationarity in the data—meaning that relationships vary across space. In such cases, Geographically Weighted Regression (GWR) should be run to account for spatial variability and better model local relationships.

Generate Spatial Weights Matrix (Option B) is used for spatial autocorrelation analyses, not regression refinement.

Generalized Linear Regression (Option C) is a global model and does not address non-stationarity.

Therefore, the correct answer is A.

The extremely large and small values (3.48e+38 and 3.48e-38) indicate that valid statistics (min and max values) have not been calculated for the mosaic dataset. Without statistics, ArcGIS assigns default extreme placeholder values. Running the “Build Statistics” tool will calculate the correct min and max elevation values.

Color balance (Option A) affects display but not data statistics.

Overviews (Option C) improve display performance but do not affect statistics calculation.

Therefore, the correct answer is B.

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ArcGIS Pro’sMatrix Heat Chartis designed for visualizing relationships between two categorical fields—such as origin and destination cities—and summarizing a numeric field, like delay time, using aggregate functions (e.g., mean). This type of chart aligns perfectly with the requirement:

It allows you to setColumnto the destination city andRowto the origin city.

Then choose theNumberfield as delay time and theAggregationmethod as "Mean" to calculate average delay.

The chart displays each origin‑destination pair as a cell, color‑coded by the calculated average delay.

Official documentation highlights this example explicitly:

“Create a matrix heat chart to identify the flights that have the highest average arrival delay time between origin and destination city by setting the following properties… Aggregation—Mean; Number—DelayTime”

Other chart types don’t fit the requirement:

Box plotis used to display distributions and identify outliers; it doesn’t aggregate by category pairs.

Scatter plotshows relationships between numeric variables on a continuous axis—not suitable for categorical city‑pair aggregation.

Therefore, the most appropriate choice for summarizing average journey delay by city pairs is theMatrix Heat Chart (C).