The construction of confidence sets for the parameters of a flexible simple linear
regression model for interval-valued random sets is addressed. For that purpose, the
asymptotic distribution of the least-squares estimators is analyzed. A simulation study
is conducted to investigate the performance of those confidence sets. In particular, the
empirical coverages are examined for various interval linear models. The applicability of
the procedure is illustrated by means of a real-life case study.