diff --git a/src/ftest.jl b/src/ftest.jl
index d3ee8866..722acce9 100644
--- a/src/ftest.jl
+++ b/src/ftest.jl
@@ -59,19 +59,18 @@ julia> dat = DataFrame(Treatment=[1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 2, 2.],
                        Result=[1.1, 1.2, 1, 2.2, 1.9, 2, .9, 1, 1, 2.2, 2, 2],
                        Other=[1, 1, 2, 1, 2, 1, 3, 1, 1, 2, 2, 1]);
 
-julia> mod = lm(@formula(Result ~ 1 + Treatment), dat);
+julia> model = lm(@formula(Result ~ 1 + Treatment), dat);
 
-julia> nullmod = lm(@formula(Result ~ 1), dat);
+julia> nullmodel = lm(@formula(Result ~ 1), dat);
 
-julia> bigmod = lm(@formula(Result ~ 1 + Treatment + Other), dat);
+julia> bigmodel = lm(@formula(Result ~ 1 + Treatment + Other), dat);
 
-julia> ft = ftest(mod.model, nullmod.model)
+julia> ft = ftest(model.model, nullmodel.model)
         Res. DOF DOF ΔDOF    SSR    ΔSSR     R²    ΔR²       F* p(>F)
 Model 1       10   3      0.1283         0.9603
 Model 2       11   2   -1 3.2292 -3.1008 0.0000 0.9603 241.6234 <1e-7
 
-
-julia> ftest(bigmod.model, mod.model, nullmod.model)
+julia> ftest(bigmodel.model, model.model, nullmodel.model)
         Res. DOF DOF ΔDOF    SSR    ΔSSR     R²    ΔR²       F*  p(>F)
 Model 1        9   4      0.1038         0.9678
 Model 2       10   3   -1 0.1283 -0.0245 0.9603 0.0076   2.1236 0.1790
@@ -107,7 +106,7 @@ function show(io::IO, ftr::FTestResult{N}) where N
 
     nc = 10
     nr = N
-    outrows = Matrix{String}(nr+1, nc)
+    outrows = Matrix{String}(undef, nr+1, nc)
 
     outrows[1, :] = ["", "Res. DOF", "DOF", "ΔDOF", "SSR", "ΔSSR",
                      "R²", "ΔR²", "F*", "p(>F)"]
diff --git a/test/runtests.jl b/test/runtests.jl
index 367350ca..89319505 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -487,25 +487,24 @@ end
 
     ft = ftest(mod, nullmod)
     @test isapprox(ft.pval[1].v,  2.481215056713184e-8)
-    # Test output - already covered in doctest
-#    @test sprint(show, ftest(mod, nullmod)) ==
-#        """
-#                Res. DOF DOF ΔDOF    SSR    ΔSSR      R²    ΔR²       F* p(>F)
-#        Model 1       10   3      0.1283          0.9603
-#        Model 2       11   2   -1 3.2292 -3.1008 -0.0000 0.9603 241.6234 <1e-7
-#        """
+    @test sprint(show, ftest(mod, nullmod)) ==
+        """
+                Res. DOF DOF ΔDOF    SSR    ΔSSR      R²    ΔR²       F* p(>F)
+        Model 1       10   3      0.1283          0.9603                      
+        Model 2       11   2   -1 3.2292 -3.1008 -0.0000 0.9603 241.6234 <1e-7
+        """
 
     bigmod = lm(@formula(Result~Treatment+Other), d).model
     ft2 = ftest(bigmod, mod, nullmod)
     @test isapprox(ft2.pval[2].v,  2.481215056713184e-8)
     @test isapprox(ft2.pval[1].v, 0.17903437900958952)
-#    @test sprint(show, ftest(bigmod, mod, nullmod)) ==
-#        """
-#                Res. DOF DOF ΔDOF    SSR    ΔSSR      R²    ΔR²       F*  p(>F)
-#        Model 1        9   4      0.1038          0.9678
-#        Model 2       10   3   -1 0.1283 -0.0245  0.9603 0.0076   2.1236 0.1790
-#        Model 3       11   2   -1 3.2292 -3.1008 -0.0000 0.9603 241.6234  <1e-7
-#        """
+    @test sprint(show, ftest(bigmod, mod, nullmod)) ==
+        """
+                Res. DOF DOF ΔDOF    SSR    ΔSSR      R²    ΔR²       F*  p(>F)
+        Model 1        9   4      0.1038          0.9678                       
+        Model 2       10   3   -1 0.1283 -0.0245  0.9603 0.0076   2.1236 0.1790
+        Model 3       11   2   -1 3.2292 -3.1008 -0.0000 0.9603 241.6234  <1e-7
+        """
 end
 
 @testset "F test rounding error" begin