movies $($M$)$

$\backslash$table$[[I{d}_{?},$Title,Year,LengthMinutes,Director,Studio$],[1,$Toy Story,$1995,80,1,$Pixar$],[2,$Monsters, Inc.,$2001,92,1,$Pixar$],[3,$Finding Nemo,$2003,100,2,$Pixar$],[4,$The Good Dinosaur,$2015,87,3,$Pixar$],[5,$WALL$-$E$,2008,74,4,$Pixar$],[6,$The Iron Giant,$1999,87,5,$Warner Bros.$],[7,$Ratatouille,$2007,118,5,$Pixar$],[8,$The Lego Movie,$2014,100,7,$Warner Bros.$],[9,$The Incredibles,$2004,116,5,$Pixar$],[10,$The Lego Batman Movie,$2017,129,7,$Warner Bros.$],[11,$Incredibles $2,2018,118,5,$Pixar$]]$

Based on the above movies table $($abbreviated as $($M$)$ in the relational algebra query below$),($a$)$ compute the result of the relational algebra query, $($b$)$ translate the relational algebra query into a SQL SELECT statement, and $($c$)$ formulate an English$-$language information request corresponding to this relational algebra query.