Read the Motion Picture Industry case study and using this data set

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Read the Motion Picture Industry case study and using this data set (be sure to use all 100 points) please provide a Managerial Report that includes the following:1. Descriptive statistics (5-number summary, mean, mode, range and standard deviation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the motion picture industry.2. What motion pictures, if any, should be considered high-performance outliers? Why?3. Descriptive statistics (correlation coefficient) showing the relationship between total gross sales and each of the other variables. Please provide an explanation of the relationships.

Motion PictureOpening GrossTotal GrossNumber of TheatersWeeks in Top 60
Coach Carter29.1767.252,57416
Ladies in Lavender0.156.6511922
Batman Begins48.75205.283,85818
Unleashed10.9024.471,9628
Pretty Persuasion0.060.23244
Fever Pitch12.4042.013,27514
Harry Potter and the Goblet of Fire102.69287.183,85813
Monster-in-Law23.1182.893,42416
White Noise24.1155.852,2797
Mr. and Mrs. Smith50.34186.223,45121
Be Cool23.4555.813,2168
Modigliani0.030.1394
Flightplan24.6389.693,42421
Steamboy0.140.36463
Lost Embrace0.020.0551
Kung Fu Hustle0.2717.082,50316
Howl's Moving Castle0.434.6120211
War of the Worlds77.06234.213,91019
Balzac and the Little Chinese Seamstress0.020.42226
Lords of Dogtown5.6211.011,8654
The Baxter0.040.04471
The Amityville Horror23.5164.263,3236
House of Wax12.0832.053,11112
Uncle Nino0.170.171891
Separate Lies0.070.851276
Thumbsucker0.091.233306
Sons of Provo0.030.0371
Kingdom of Heaven19.6447.313,21912
Mrs. Henderson Presents0.064.3626010
Casanova0.2311.241,0118
The World's Fastest Indian0.400.871212
Alone in the Dark2.835.132,1243
Get Rich or Die Tryin'12.0230.971,66611
Cheaper by the Dozen 215.3480.833,2118
Red Eye16.1757.863,1348
Mughal-e-Azam0.060.11322
Head On0.020.1153
The Thing About My Folks0.240.781454
Lucky0.150.15441
Broken Flowers0.7813.6543312
Paradise Now0.051.266516
Dil Jo Bhi Kahe0.090.13332
Look at Me0.071.667513
D.E.B.S.0.060.06451
Ek Khiladi Ek Hasina0.080.08151
Viruddh0.110.29373
Sin City29.1274.003,23016
Bee Season0.121.142777
A Lot Like Love7.5821.842,50210
First Descent0.440.742433
George A. Romero's Land of the Dead10.2220.432,2536
Ong Bak: The Thai Warrior1.344.513878
Me and You and Everyone We Know0.033.6916013
Caterina in the Big City0.010.1675
Shaadi No. 10.140.34453
The Wild Parrots of Telegraph Hill0.042.816627
Mindhunters1.914.451,0405
Sahara18.0768.643,20017
Racing Stripes18.8649.193,18517
Mad Hot Ballroom0.057.9020219
The Exorcism of Emily Rose30.0575.073,0459
Nina's Tragedies0.040.20152
Home Delivery0.050.05151
Into the Blue7.0618.472,7895
Ek Ajnabee0.120.21383
The Edukators0.030.07321
Magnificent Desolation0.507.318219
Memoirs of a Geisha0.6856.071,65410
Cronicas0.040.14133
Bride and Prejudice0.396.5728813
Happily Ever After0.030.1281
State Property 20.761.682023
Star Wars: Episode III108.44380.183,66319
Indigo1.191.196031
Imaginary Heroes0.040.09191
Cinderella Man18.3261.582,82015
The Upside of Anger0.2118.741,16615
The Skeleton Key16.0647.812,78411
The Cave6.1514.892,1956
The Family Stone12.5259.702,4699
Jiminy Glick in La La Wood0.030.03241
High Tension1.903.651,3233
Yours, Mine and Ours17.4653.303,21012
Wedding Crashers33.90209.223,13123
Wallace and Gromit: Were-Rabbit16.0356.073,65613
Three... Extremes0.040.04191
Nobody Knows0.030.49236
Capote0.3320.131,23920
A History of Violence0.5231.461,34819
Palindromes0.060.51467
The Devil's Rejects7.0716.901,7575
The Greatest Game Ever Played3.6615.331,8109
Proof0.197.5351710
Walk the Line22.35113.633,16013
Where the Truth Lies0.140.82924
Wolf Creek4.9116.041,7617
My Summer of Love0.090.97637
The Producers0.1619.289789
Happy Endings0.241.25746
Last Days0.090.42315
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    Read the Motion Picture Industry case study and using this data set
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