In mathematics, the term 'inverse' refers to an operation that reverses the effect of another operation. In the context of linear regression, the inverse is especially relevant when discussing matrices, as it allows for the solution of systems of equations. Specifically, finding the inverse of a matrix is crucial in calculating regression coefficients, as it helps in transforming data points to make predictions about outcomes based on input variables.
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