Linear regression in a method in Machine Learning. The same term is also used in Statistics. To read about Machine Learning basic, please find my article here. Linear regression finds relationship between one or more continuous predictor variables and the dependent variable to predict. Simple linear regression has only one predictor or independent variable to predict the dependent variable. Plot the variables and draw a fit line with its distance to data points as small as possible. The distance of the fit line to each data point represents the prediction error.
Below is the data of 20 apples with their mass (gram) and volume (cm3). Now, we want to create a model or formula to estimate the volume of apple according to its mass using linear regression.
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Data Science and GIS 