Use the following table displaying 20 of the top (era-adjusted)grossing movies of all time, along with their Metacritic score (aweighted average of critics ratings), the amount of money theygrossed (weighted for the year of release, in millions of dollars),and an indicator of whether or not the movie is a sequel to answerthe following questions. You will need to use StatCrunch for thisquestion.

Title	Metacritic	Adj_Gross	Sequel
Gone with the Wind	97	1895.422	No
Star Wars	90	1668.98	No
The Sound of Music	63	1335.086	No
E.T. the Extra-Terrestrial	91	1329.175	No
Titanic	75	1270.102	No
Jaws	87	1200.098	No
Doctor Zhivago	69	1163.15	No
The Exorcist	81	1036.315	No
Snow White and the Seven Dwarfs	95	1021.33	No
Star Wars: The Force Awakens	80	1013.038	Yes
One Hundred and One Dalmatians	83	936.2251	No
The Empire Strikes Back	82	919.2448	Yes
Ben-Hur	90	918.6995	No
Avatar	83	911.791	No
Avengers: Endgame	78	892.6696	Yes
Return of the Jedi	58	881.3366	Yes
Jurassic Park	68	858.8936	No
Star Wars: Episode I - The Phantom Menace	51	846.2244	Yes
The Lion King	88	835.3018	No
The Sting	83	835.269	No

a) Find the correlation between the Metacritic and Adj_Grossvariables. Describe the strength and direction of thecorrelation.

b) Does having a higher Metacritic score have more an impact ongross revenue for original movies (non-sequels) or sequels? Putanother way, does an increase of 1 in the Metacritic variable addmore value to sequels or non-sequels? Justify your answer. Youshould be finding two different regression equations to answer thisquestion.

c) Let’s say a new movie came out that received a Metacriticscore of 89. Using your regression equations, how much money wouldit be expected to make if it is a sequel? How much money would itbe expected to make if it is not a sequel?