Research on Hollywood movies of 2012

7/29/2019 Research on Hollywood movies of 2012

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Genre Title Budget ($)in Millions

Action Ghost Rider: Spirit of Vengeance 57

Action The Cold Light of Day 20

Action Stolen 35

Action Resident Evil: Retribution 65

Action Red Dawn 65

Action The Man with the Iron Fists 20Action Wrath of the Titans 150

Action Hit and Run 2

Action Haywire 23

Action Battleship 209

Action Lockout 20

Action This Means War 65

Action Snow White and the Huntsman 170

Action Act of Valor 12

Action Contraband 25

Action Taken 2 45

Action Safe 33

Action Premium Rush 35

Action The Bourne Legacy 125

Action John Carter 250

Action Safe House 85

Action The Expendables 2 100

Action Get the Gringo 20

Action The Amazing Spider-Man 230

Action Jack Reacher* 60

Action The Hunger Games 78

Action Dredd 45Action The Raid: Redemption 1.1

Action End of Watch 7

Action Looper 30

Action Skyfall 200

Action The Avengers 220

Action The Dark Knight Rises 250

Action Django Unchained* 83

Comedy Madea's Witness Protection 20

Comedy Fun Size 14

Comedy The Three Stooges 30

Comedy One For The Money 40Comedy That's My Boy 70

Comedy Mirror Mirror 85

Comedy Parental Guidance 6.5

Comedy Wanderlust 35

Comedy A Thousand Words 40

Comedy For a Good Time, Call... 5.7

Comedy Damsels in Distress 3

Comedy Think Like a Man 12


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Comedy Diary of a Wimpy Kid: Dog Days 22

Comedy Iron Sky 7

Comedy Friends with Kids 10

Comedy Magic Mike 7

Comedy The Campaign 56

Comedy The Five-Year Engagement 30

Comedy Dark Shadows 150Comedy To Rome with Love 24.8

Comedy This Is 40* 35

Comedy The Dictator 65

Comedy Celeste and Jesse Forever 8

Comedy Jeff, Who Lives at Home 10

Comedy Project X 12

Comedy Your Sister's Sister 0.125

Comedy Seeking a Friend for the End of the World 10

Comedy American Reunion 50

Comedy Men in Black 3 215

Comedy Safety Not Guaranteed 0.75

Comedy The Best Exotic Marigold Hotel 10

Comedy 21 Jump Street 42

Comedy Ted 65

Comedy Seven Psychopaths 15

Comedy Moonrise Kingdom 16

Drama Good Deeds 14

Drama Darling Companion 12

Drama Won't Back Down 19

Drama Cosmopolis 20

Drama W.E. 29Drama Big Miracle 30

Drama Deadfall 12

Drama The Odd Life of Timothy Green 25

Drama Compliance 10

Drama Arbitrage 13

Drama The Words 6

Drama Salmon Fishing in the Yemen 14.5

Drama Smashed 5

Drama People Like Us 16

Drama Anna Karenina 50

Drama Hitchcock* 15Drama Beasts of the Southern Wild 1.8

Drama We Need to Talk About Kevin 7

Drama Flight 31

Drama The Impossible 45

Drama The Master 35

Drama Silver Linings Playbook 21

Drama Argo 44.5

Drama The Perks of Being a Wallflower 13


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Drama Lincoln 60

Drama Life of Pi 120

Sci-Fi Total Recall 125

Sci-Fi Chronicle 15

Sci-Fi Prometheus 130

Sci-Fi Cloud Atlas 102

Q1(i) Is it a good idea to make a bigger budget movie for profit?

Ans Not necessarily, the correlation, hypothesis test and regression model i

(ii) Why does the length of the movie affect the budget?

Ans The length of the movie affect the budget,because eg Sci-Fi and Actio

(iii) What is the correlation between viewer rating and gross collection?

Ans

Q2)(a) Ans

(b)

(c) Means 51.49267677

Variance 3653.788039

Mode 20

Standard Deviation 60.44657177

Q3) Correlation and Equality of Means

Budget ($)in Millions

Budget ($)in Millions 1

First week collection($) in Mi 0.669285261

Gross ($) in Millions 0.790045357

Length in minutes 0.566813015

Viewer Rating 0.233063936

*Movies released in recent week.

According to the data of movies released during the year of 2012 shows tha

Sources-www.Imdb.com,www.wikipedia.com,www.boxofficemojo.com

Unit of measurement -Gross collection,Weekend collection and Gross coll

length is measured in Minutes and Viewer rating are counted out of 10.

From the above table we can see that the movies released during the yea

gross collection of the movies.we can see from the correlation matrix abo

weekend collection while considering it's impact on gross collection i.e .(

H0: the first week collection has no impact on gross collection for all the

Mathematically H0 : first weekend collection - gross collection


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First weekend collection($) i

Mean 19.86907785

Variance 1048.60121

Observations 99

Hypothesized Mean Difference 0

df 101

t Stat -5.000790229

P(T


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1 158.9120577

2 8.951893652

3 4.610591653

4 151.432694

5 103.7640489

6 58.9790028

7 238.7063328 44.83099051

9 62.59793289

10 182.9694828

11 47.1655835

12 125.7796021

13 398.835226

14 175.5246909

15 174.6324849

16 351.6775466

17 58.84926332

18 47.64514327

19 271.6715777

20 215.6513855

21 285.9526642

22 204.4734442

23 5.643040981

24 439.5488966

25 113.0741949

26 1076.46947

27 47.49381924

28 4.82629646229 95.85638517

30 149.6690996

31 625.0017462

32 1462.732768

33 1135.225799

34 219.2240369

35 181.954629

36 32.17445809

37 122.9949628

38 84.3402178

39 97.9742532240 130.8883798

41 107.4458894

42 49.23971258

43 46.77472582

44 4.334875036

45 3.734433333

46 239.9664744

47 106.204841


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95 161.2772124

96 183.2715329

97 158.12947

98 362.4791936

99 70.94806584

CONCLUSION

-500

0

500

0.00 50.00 100.00 150.00 200.00 250.00Residuals

First weekend collection($) in Mi

First weekend collection($) in

Mi Residual Plot

As per the analysis of data abovefor movies released during the year 201

collections. In action movies viewer rating and length were depended on

accurate of viewer rating and length are correlated . Comedy movies data

explained by regression test, it slated that variance of 70.1% of populatio

collection thus regression model is very accurate and hence supporting o

weekend collection and the variance of 73.4% of population of gross coll

very accurate and hence supporting our test. in our data the Sci-Fi movies

genre. In Sci-Fi movies budget and length were co related as budget were

Budget can be explained by variance of length of the movie thus regressi


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First weekend collection($) in Mi Gross ($) in Millions Length in minutes Viewer Rating

22.12 132.5 95 4.4

0.80 16.8 93 4.8

0.18 2.5 96 5.3

21.05 221.6 95 5.3

14.28 39 114 5.5

7.9118.4 96 5.8

33.46 301.9 99 5.8

5.90 14.4 100 5.9

8.43 33.3 93 5.9

25.53 302 131 6

6.23 28 95 6.1

17.41 156.3 97 6.3

56.22 396.3 127 6.3

24.48 80.4 110 6.4

24.35 96.2 110 6.4

49.51 365 91 6.4

7.89 40.3 95 6.5

6.30 30.6 91 6.6

38.14 276 135 6.7

30.18 282.7 132 6.7

40.17 207.8 115 6.8

28.59 312.5 103 7

0.33 7.5 96 7.1

62.00 752 136 7.2

15.60 110 130 7.3

152.54 686.6 142 7.3

6.2836.2 95 7.4

0.21 4.1 101 7.6

13.15 40 109 7.7

20.80 166 118 7.8

88.36 978 143 8

207.44 1550.1 143 8.4

160.89 1081 165 8.7

30.69 150 165 8.8

25.39 65.6 114 3.9

4.10 9.2 90 5

17.01 53 92 5.1

11.52 36.8 91 5.113.45 57.7 114 5.5

18.13 162.8 106 5.5

14.80 29.3 105 5.6

6.53 21.4 98 5.6

6.18 20.5 91 5.6

0.14 1.2 85 5.7

0.06 1.3 99 6

33.64 99.19 123 6


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0.94 122.2 150 8.3

22.45 240 127 8.3

25.58 198 118 6.3

22.00 126 83 7.1

51.05 402.52 124 7.2

9.61 65.6 171 8.1

dicate that the budget of the movie is depended on the weekend, gross and viewer rating.

movies require's special effect which creates an excitement for viewer.

19.86907785 143.1087879 109.6161616 6.586868687

1048.60121 59076.97557 383.1981035 1.045029891

11.579175 28 95 6.3

32.3821125 243.0575561 19.57544644 1.022267035

First weekend collection($) in Mi Gross ($) in Millions Length in minutes Viewer Rating

1

0.937311029 1

0.468210392 0.473707897 1

0.277329405 0.344214701 0.440210241 1

t there is no correlation between viewer rating and gross collection.

ction are measured in $ Millions.

r 2012, the weekend collection has a big impact on the

ve that the co-efficeient of correlation is highest for

0.937311029) the higher the weekend collection the

ovies released during the year 2012.

0


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Gross ($) in Millions

143.1087879

59076.97557

99

SS MS F Significance F 5086414.911 5086414.911 701.6955077 3.37199E-46

703128.6946 7248.749429

5789543.605

Standard Error t Stat P-value Lower 95% Upper 95%

10.05320477 0.3304655 0.741760972 -16.63059126 23.27507

0.265590984 26.48953582 3.37199E-46 6.508257309 7.562506

Residuals

ly proportional to the weekend collection.

0

we will use two tail test by using t-statistic using t test

ence as zero.

0 and conclude that H1 is true which states that Gross

nal to the weekend collection.


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-26.41205774

7.848106348

-2.110591653

70.167306

-64.76404889

-40.5790028

63.19366799-30.43099051

-29.29793289

119.0305172

-19.1655835

30.5203979

-2.535226016

-95.12469093

-78.4324849

13.32245337

-18.54926332

-17.04514327

4.328422285

67.04861446

-78.15266424

108.0265558

1.856959019

312.4511034

-3.074194882

-389.8694699

-11.29381924

-0.726296462-55.85638517

16.33090036

352.9982538

87.36723239

-54.22579948

-69.22403689

-116.354629

-22.97445809

-69.99496277

-47.5402178

-40.2742532231.91162016

-78.14588937

-27.83971258

-26.27472582

-3.134875036

-2.434433333

-140.7764744

-29.70484097


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4.4667012

-5.515881111

-113.5968207

-87.3822074

-24.26806136

26.53052345

67.13546409-64.08615548

51.51523209

21.91945402

-4.842476948

-50.42661543

-83.68615548

-20.61711635

80.01799377

236.5967138

-0.010030348

125.4923274

-57.14497649

115.5460147

-17.59435874

57.99828607

-77.96109408

4.296614725

-16.4379395

2.68290093

-2.763420911

-33.91824309-3.008660434

-27.86549314

27.56219244

5.591767268

-25.34659097

29.5885121

-0.611791638

-20.86076327

21.06158604

-0.846422245

6.4838442782.504783722

-83.00722852

54.1636099

10.29753358

25.56106737

19.38253492

23.07116988

112.2341953


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78.72278758

14.72846715

-32.12946999

40.04080642

-5.348065843

To establish the relation mentioned above we use regression analysis by assuming Gross

collection as dependent variable and first weekend collection as causal variable hence we

plot Gross collectiona t Y axis and First weekend collection at X axis. As per the table

resulted by regression we can see that R square is 87.8 % which indicates that variance of

87.8% of population of gross collection can be explained by variance of first weekend

collection thus regression model is very accurate and hence supporting our hypothesis test.

The significance quotient is only 3.3% which clearly indicates that probablity of regression

obtained above by chance is only 3.3% and hence this model can be considered accurate

and significant again supporting our hypothesis.

Another observation from regression model can be inferred from p values of Y interceot as

the Pvalue is very low only at 0.74 hence again the probablity of such regression obtained

by chance is very low .

The fourth and most importnat inference can be interpreted from the residual effects

graph not following a specific pattern and hence regression can be considered robust and

hence the hypothesis that Gross collection is a dependent variable of first weekend

collection holds true.

2 indicates that gross collections were dependent on first weekend

he Gross collection but in Regression test we found out that only 45% are

displayed they were directly coeffecient with gross collection which is

of gross collection can be explained by variance of first weekend

r test. Drama movies were dependent on the budget and has relation with

ction can be explained by variance of Budget, thus regression model is

released during the year 2012 have small percentage compare to other

higher for the sci-fi movies and that variance of only 34%of population of

on model is not very accurate and hence partially supporting our test.


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Viewer Rating

Mean 6.652941176


Observations 34

Hypothesized Mean Diff 0

df 33

t Stat -28.77296391

P(T


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32 137.7691921

33 141.9517807

34 143.3459769

-40

-30

-20

-10

0

10

20

30

0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00 9.00 10.00


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First weekend collection($) in Mi

Mean 15.06629285


Observations 34

Hypothesized Mean Differe 0

df 34

t Stat -3.498155532

P(T


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Upper 95.0%

20.1877011

9.464040298


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Mean 25.72307692


Observations 26

Hypothesized Mean Diff 0

df 34

t Stat -1.225549156

P(T


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Coefficients

Intercept -10.49446037

Budget ($)in Millions 1.979868376

RESIDUAL OUTPUT

Observation Predicted Gross ($) in Millions

1 17.22369689

2 13.263960143 27.12303877

4 29.10290714

5 46.92172252

6 48.9015909

7 13.26396014

8 39.00224902

9 9.304223388

10 15.24382851

11 1.384749886

12 18.21363108

13 -0.59511849

14 21.18343364

15 88.49895841

16 19.20356527

17 -6.930697291

18 3.364618261

19 50.88145927

20 78.59961653

21 58.80093278

22 31.08277552

23 77.6096823424 15.24382851

25 108.2976422

26 227.0897447

-100

-50

0

50

100

0 20 40 60 80 100 120 140Residua

ls


Budget ($)in Millions Residual Plot


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Gross ($) in Millions Length in minutes Viewer Rating

35 111 4.3

7.9 103 4.6

5.2 121 4.9

6.5 109 5.3

0.89 119 5.4

24 107 6.30.45 95 6.4

51.6 104 6.5

31 90 6.7

23 100 6.7

11.4 96 6.8

34.5 107 6.8

2.9 81 7

12.4 114 7.1

26.64 130 7.1

4.5 98 7.3

11 93 7.5

6 112 7.5

95.5 139 7.5

60.3 113 7.7

18.8 143 7.8

32 122 8.2

159.6 120 8.2

28 102 8.3

122.2 150 8.3

240 127 8.3

weekend collection($) i Gross ($) in Millions ength in minute Viewer Rating

1

0.726299275 1

0.328596164 0.479212016 1

0.110079505 0.485727023 0.279065717 1

budget of the movie as the coefficient of

ed during the year 2012 is independent of


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Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0%

8.518614798 -1.231944467 0.229903996 -28.0760172 7.087096462 -28.0760172

0.242872002 8.151900416 2.25863E-08 1.4786052 2.481131551 1.4786052

Residuals

17.77630311

-5.363960139-21.92303877

-22.60290714

-46.03172252

-24.9015909

-12.81396014

12.59775098

21.69577661

7.756171485

10.01525011

16.28636892

3.49511849

-8.783433641

-61.85895841

-14.70356527

17.93069729

2.635381739

44.61854073

-18.29961653

-40.00093278

0.917224481

81.9903176612.75617149

13.90235784

12.9102553

To establish the relation mentioned above we use regression analysis by assuming Gross

collection as dependent variable and Budget as causal variable hence we plot Gross

collectiona t Y axis and Budget at X axis. As per the table resulted by regression we can see

that R square is 73.4 % which indicates that variance of 73.4% of population of gross

collection can be explained by variance of Budget, thus regression model is very accurateand hence supporting our hypothesis test.

The significance quotient is only 2.26% which clearly indicates that probablity of regression

obtained above by chance is only 2.26% and hence this model can be considered accurate

and significant again supporting our hypothesis.

Another observation from regression model can be inferred from p values of Y interceot as

the Pvalue is very low only at 0.23 hence again the probablity of such regression obtained

by chance is very low .

The fourth and most importnat inference can be interpreted from the residual effects


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Upper 95.0%

7.087096462

2.481131551


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Drama


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Title Budget ($)in Millions st weekend collection($) in

Total Recall 125 25.577758

Chronicle 15 22.004098

Prometheus 130 51.050101

Cloud Atlas 102 9.612247

Correlation and Equality of Means


Budget ($)in Millions 1

First week collection($) i 0.386608264

Gross ($) in Millions 0.510235419


Viewer Rating -0.109305766


Mean 93


Observations 4

Hypothesized Mean Differe 0

df 5

t Stat -0.961115181

P(T


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Regression Model

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.591570074

R Square 0.349955153

Adjusted R Square 0.02493273

Standard Error 52.74032518

Observations 4

ANOVA

df

Regression 1

Residual 2

Total 3

Coefficients

Intercept -15.30259806


RESIDUAL OUTPUT

Observation redicted Budget ($)in Million

1 87.75955171

2 57.19026999

3 93

4 134.0501783

-

proportional of the length of the movie

-50

0

50

0 20 40 60 80 100 120 140 160Residuals

Length in minutes

Length in minutes Residual Plot


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Gross ($) in Millions Length in minutes Viewer Rating

198 118 6.3

126 83 7.1

402.52 124 7.2

65.6 171 8.1

rst weekend collection($) in Gross ($) in Millions ength in minute Viewer Rating

1

0.990390527 1

-0.319880107 -0.205474061 1

-0.360688156 -0.34543705 0.648028511 1

Length in minutes

124

1308.666667

4

orrelated. Public always want Sci-Fi movies length to be longer compare to other

e sci-fi movies which creates an excitement for the public. Sci-fi movies are madefects leads to high budget.

year 2012 is independent of the length of the movie.

year 2012 directly proportional of the length of the movie.

st , to establish same we will use two tail test by using t-statistic using t test ofesized mean difference as zero.

l hence we can reject H0 and conclude that H1


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SS MS F Significance F

2994.9162 2994.9162 1.076710798 0.408429926

5563.0838 2781.5419

8558

Standard Error t Stat P-value Lower 95% Upper 95%

107.6529958 -0.142147443 0.899990505 -478.4960544 447.8908582

0.841720018 1.03764676 0.408429926 -2.748220882 4.49503698

Residuals

37.24044829

-42.19026999

37

-32.0501783

180

To establish the relation mentioned above we use regression analysis by assuming

as dependent variable and length of the movie as causal variable hence we plot Bu

Y axis and length of the movie at X axis. As per the table resulted by regression we

that R square is only 34% which indicates that variance of only 34%of population

Budget can be explained by variance of length of the movie thus regression model

very accurate and hence partially supporting our hypothesis test.The significance quotient is only 0.4% which clearly indicates that probablity of reg

obtained above by chance is only 0.4% and hence this model can be considered p

significant again supporting our hypothesis.

Another observation from regression model can be inferred from p values of Y inte

as the P value is very low only at 0.89hence again the probablity of such regression

obtained by chance is very low .

The fourth and most importnat inference can be interpreted from the residual eff

graph not following a specific pattern and hence regression can be considered robu


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ence e ypo es s a v ewer co ec on s a epen en var a e o eng o

partially holds true.

***less number of dataset population has resulted in differen results and hence a

interpretation drawn form such a small pool of data is absurd****


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Lower 95.0% Upper 95.0%

-478.4960544 447.8908582

-2.748220882 4.49503698

Budget

dget at

an see

f

is not

ression

rtially

rceot

ects

st and


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Sci-Fi

Research on Hollywood movies of 2012

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