Definition
Regression analysis is a statistical approach to find the mathematical relationship between input independent variables and output dependent variables using linear/nonlinear equations. The regression model (also called as linear or nonlinear equation) is used to predict the values of output variable for the given values of input variables.
Introduction
The Earth’s resources like vegetation, minerals, water, etc. are monitored using remote sensing. Remote sensing data analysis is based on statistical methods like regression, classification, and clustering (Richards and Jia 2006). Regression (also identified as prediction) involves obtaining output values of themes such as temperature, slope, pressure, elevation, etc., for the respective input values (Jensen 2004). One of the major applications of regression analysis is the prediction of weather parameters like pressure, temperature, and humidity using the data obtained from the sensors. Data classification is labeling the...
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Acknowledgments
The author is thankful to K. Madan Mohan Reddy, vice chairman, Kandula Srinivasa Reddy College of Engineering, and A. Mohan, director, Kandula Group of Institutions for establishing the Machine Learning group at Kandula Srinivasa Reddy College of Engineering, Kadapa, Andhra Pradesh, India – 516003.
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Arun Kumar, D., Hemalatha, G., Venkatanarayana, M. (2023). Regression. In: Daya Sagar, B.S., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-85040-1_272
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