diff --git a/pyerrors/fits.py b/pyerrors/fits.py
index 1ea2f827..16fb5405 100644
--- a/pyerrors/fits.py
+++ b/pyerrors/fits.py
@@ -525,6 +525,10 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
             fit_result = scipy.optimize.least_squares(chisqfunc_residuals_corr, fit_result.x, method='lm', ftol=1e-15, gtol=1e-15, xtol=1e-15)
 
         chisquare = np.sum(fit_result.fun ** 2)
+        if kwargs.get('correlated_fit') is True:
+            assert np.isclose(chisquare, chisqfunc_corr(fit_result.x), atol=1e-14)
+        else:
+            assert np.isclose(chisquare, chisqfunc(fit_result.x), atol=1e-14)
 
         output.iterations = fit_result.nfev
 
@@ -585,7 +589,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
 
     output.fit_parameters = result
 
-    output.chisquare = chisqfunc(fit_result.x)
+    output.chisquare = chisquare
     output.dof = x.shape[-1] - n_parms
     output.p_value = 1 - chi2.cdf(output.chisquare, output.dof)
 
diff --git a/tests/fits_test.py b/tests/fits_test.py
index 88b8438a..a288f547 100644
--- a/tests/fits_test.py
+++ b/tests/fits_test.py
@@ -149,8 +149,10 @@ def test_correlated_fit():
                 return p[1] * anp.exp(-p[0] * x)
 
         fitp = pe.least_squares(x, data, fitf, expected_chisquare=True)
+        assert np.isclose(fitp.chisquare / fitp.dof, fitp.chisquare_by_dof, atol=1e-14)
 
         fitpc = pe.least_squares(x, data, fitf, correlated_fit=True)
+        assert np.isclose(fitpc.chisquare / fitpc.dof, fitpc.chisquare_by_dof, atol=1e-14)
         for i in range(2):
             diff = fitp[i] - fitpc[i]
             diff.gamma_method()
@@ -176,6 +178,8 @@ def test_fit_corr_independent():
         out_corr = pe.least_squares(x, oy, func, correlated_fit=True, method=method)
 
         assert np.isclose(out.chisquare, out_corr.chisquare)
+        assert np.isclose(out.dof, out_corr.dof)
+        assert np.isclose(out.chisquare_by_dof, out_corr.chisquare_by_dof)
         assert (out[0] - out_corr[0]).is_zero(atol=1e-5)
         assert (out[1] - out_corr[1]).is_zero(atol=1e-5)