LinregressResult

LinregressResult is the return type of the SciPy function scipy.stats.linregress. It is a namedtuple-like object that encapsulates the results of a simple linear regression of a dependent variable y on an independent variable x using ordinary least squares.

The LinregressResult contains several fields: slope (the regression slope), intercept (the regression intercept), rvalue (the Pearson correlation coefficient between x and y), pvalue (the two-tailed p-value for the null hypothesis that the slope is zero), and stderr (the standard error of the estimate, i.e., the standard deviation of the residuals). The coefficient of determination, r-squared, can be obtained as rvalue**2.

Access to the values can be done via attribute lookup, for example result.slope or result.intercept. The results can also be retrieved by unpacking, as in slope, intercept, rvalue, pvalue, stderr = scipy.stats.linregress(x, y). The function expects 1-D numeric sequences for x and y and returns a LinregressResult with the corresponding statistics for the fitted line.

Implementation-wise, LinregressResult is immutable and serves as a concise container for the common statistics produced by a linear regression, enabling convenient programmatic access without exposing more detailed regression diagnostics.

See also: SciPy, linregress, Pearson correlation.