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Simple Regression and Ordinary Least Squares (OLS) Analysis Using ArcGIS Pro

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This video highlight Simple Regression and Ordinary Least Squares (OLS) Analysis Using ArcGIS Pro. Regression and OLS allow users to use explanatory or independent variables to explain a dependent variable. The output includes an equation of best fit in n (# of independent variables) dimensions as well as those independent variables that impact this equation. You can see a great example where we use the OLS tools in ArcGIS Pro to explain bymail voting patterns for the 2020 General Election using a number of independent variables related to socioeconomichealth variables as well as prior voting patterns. This was published in the Professional Geographer in January 2022 and you can find that paper at: https://www.tandfonline.com/doi/abs/1...

These videos have been created in support of teaching and research in the field of GIS (Geographic Information Systems) for the Department of Environmental, Earth and Geospatial Sciences at North Carolina Central University (NCCU). Established in 1910, NCCU is located in Durham, North Carolina, and serves about 8,500 students. The mission of our department is to promote intellectual, professional, and personal excellence through the highest quality instruction, research, and service in the environmental, earth and geospatial sciences. Its vision is to be recognized as a regional, statewide, and national resource for students and society as well as professionals who work in the many fields that are encompassed by the environmental, earth, and geospatial sciences. Students in our programs currently focus their studies in the fields of seismology, natural hazards, GIS (Geographic Information Systems) and Remote Sensing applications, environmental health & impacts and remediation technology among others. Our courses are designed to provide students with the analytical and methodological skills necessary to understand or derive explanations for individual occurrences, for recurring processes, and for invariable as well as statistical regularities in the earth’s lithosphere, hydrosphere, atmosphere, and biosphere. The department prides itself in former students who fostered these skills and have gone onto successful careers in the field at places such as the North Carolina Department of Transportation, City of Durham, Environmental Protection Agency, Lowe’s Corporation, Environmental Protection Agency, National Forest Service, Army Corps of Engineers, real estate firms and private contractors or students who have gone onto Ph.D. programs at places such as North Carolina State University, North Carolina A&T State University and the University of North Carolina, Greensboro.

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