Linear regression uses correlations between variables as the basis for the prediction of the value of one variable based on the value of another.

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Linear regression calculates the relationship between variables and uses it to make predictions about the value of one variable based on the value of another. It is based on the concept of correlation between variables.

Linear Regression Uses Correlations Between Variables as the Basis for the Prediction