diff --git a/NEED/analyse-NEED-EULF-2014-models-v2.0.do b/NEED/analyse-NEED-EULF-2014-models-v2.0.do
index 4ba6603dbee47f0da82c19c63c2dbfdcd0e25145..488a72f720a9c0af94131ad9fbd5f3319e968da0 100644
--- a/NEED/analyse-NEED-EULF-2014-models-v2.0.do
+++ b/NEED/analyse-NEED-EULF-2014-models-v2.0.do
@@ -164,6 +164,9 @@ local pt104 "mid_terr"
 local pt105 "bungalow"
 local pt106 "flat"
 
+* check for weirdness
+su `generic_hvarsg'
+
 * now loop over the energy types & run linear regression models
 * NB - the rounding of the consumption values may lead to modelling problems
 
@@ -187,7 +190,7 @@ foreach v of local vars {
 		di "Testing residuals against `v'"
 		* based on http://www.ats.ucla.edu/stat/stata/webbooks/reg/chapter2/statareg2.htm
 		* can't use factor variables in acprplot...
-		graph hbox `v'_r, over(`testv') name(rtest_`testv')
+		graph hbox `v'_r, over(`testv') name(rtest_`v'_`testv')
 		graph export "`rpath'/graphs/rplot_`v'_`testv'-`version'.png", replace
 		* possibly floor area - heteroskedasticity ?
 	}