diff --git a/docs/pyerrors/fits.html b/docs/pyerrors/fits.html
index bb34f8d4..2ecd896e 100644
--- a/docs/pyerrors/fits.html
+++ b/docs/pyerrors/fits.html
@@ -476,7 +476,7 @@
365 raise Exception('The minimization procedure did not converge.')
366
367 output.chisquare = chisquare
-368 output.dof = x_all.shape[-1] - n_parms + len(loc_priors)
+368 output.dof = y_all.shape[-1] - n_parms + len(loc_priors)
369 output.p_value = 1 - scipy.stats.chi2.cdf(output.chisquare, output.dof)
370 if output.dof > 0:
371 output.chisquare_by_dof = output.chisquare / output.dof
@@ -504,7 +504,7 @@
393 hat_vector = prepare_hat_matrix()
394 A = W @ hat_vector
395 P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T
-396 expected_chisquare = np.trace((np.identity(x_all.shape[-1]) - P_phi) @ W @ cov @ W)
+396 expected_chisquare = np.trace((np.identity(y_all.shape[-1]) - P_phi) @ W @ cov @ W)
397 output.chisquare_by_expected_chisquare = output.chisquare / expected_chisquare
398 if not silent:
399 print('chisquare/expected_chisquare:', output.chisquare_by_expected_chisquare)
@@ -1398,7 +1398,7 @@ Hotelling t-squared p-value for correlated fits.
366 raise Exception('The minimization procedure did not converge.')
367
368 output.chisquare = chisquare
-369 output.dof = x_all.shape[-1] - n_parms + len(loc_priors)
+369 output.dof = y_all.shape[-1] - n_parms + len(loc_priors)
370 output.p_value = 1 - scipy.stats.chi2.cdf(output.chisquare, output.dof)
371 if output.dof > 0:
372 output.chisquare_by_dof = output.chisquare / output.dof
@@ -1426,7 +1426,7 @@ Hotelling t-squared p-value for correlated fits.
394 hat_vector = prepare_hat_matrix()
395 A = W @ hat_vector
396 P_phi = A @ np.linalg.pinv(A.T @ A) @ A.T
-397 expected_chisquare = np.trace((np.identity(x_all.shape[-1]) - P_phi) @ W @ cov @ W)
+397 expected_chisquare = np.trace((np.identity(y_all.shape[-1]) - P_phi) @ W @ cov @ W)
398 output.chisquare_by_expected_chisquare = output.chisquare / expected_chisquare
399 if not silent:
400 print('chisquare/expected_chisquare:', output.chisquare_by_expected_chisquare)