7/29/2019 Research on Hollywood movies of 2012
1/176
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
7/29/2019 Research on Hollywood movies of 2012
2/176
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
7/29/2019 Research on Hollywood movies of 2012
3/176
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 ($) in Millions 0.790045357
Length in minutes 0.566813015
Viewer Rating 0.233063936
*Movies released in recent week.
According to the data of movies released during the year of 2012 shows tha
Sources-www.Imdb.com,www.wikipedia.com,www.boxofficemojo.com
Unit of measurement -Gross collection,Weekend collection and Gross coll
length is measured in Minutes and Viewer rating are counted out of 10.
From the above table we can see that the movies released during the yea
gross collection of the movies.we can see from the correlation matrix abo
weekend collection while considering it's impact on gross collection i.e .(
H0: the first week collection has no impact on gross collection for all the
Mathematically H0 : first weekend collection - gross collection
7/29/2019 Research on Hollywood movies of 2012
4/176
First weekend collection($) i
Mean 19.86907785
Variance 1048.60121
Observations 99
Hypothesized Mean Difference 0
df 101
t Stat -5.000790229
P(T
7/29/2019 Research on Hollywood movies of 2012
5/176
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
7/29/2019 Research on Hollywood movies of 2012
6/176
7/29/2019 Research on Hollywood movies of 2012
7/176
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
7/29/2019 Research on Hollywood movies of 2012
8/176
7/29/2019 Research on Hollywood movies of 2012
9/176
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
7/29/2019 Research on Hollywood movies of 2012
10/176
7/29/2019 Research on Hollywood movies of 2012
11/176
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
7/29/2019 Research on Hollywood movies of 2012
12/176
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.
7/29/2019 Research on Hollywood movies of 2012
13/176
-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
7/29/2019 Research on Hollywood movies of 2012
14/176
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
7/29/2019 Research on Hollywood movies of 2012
15/176
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.
7/29/2019 Research on Hollywood movies of 2012
16/176
7/29/2019 Research on Hollywood movies of 2012
17/176
7/29/2019 Research on Hollywood movies of 2012
18/176
7/29/2019 Research on Hollywood movies of 2012
19/176
7/29/2019 Research on Hollywood movies of 2012
20/176
7/29/2019 Research on Hollywood movies of 2012
21/176
7/29/2019 Research on Hollywood movies of 2012
22/176
Viewer Rating
Mean 6.652941176
Variance 1.100142602
Observations 34
Hypothesized Mean Diff 0
df 33
t Stat -28.77296391
P(T
7/29/2019 Research on Hollywood movies of 2012
23/176
7/29/2019 Research on Hollywood movies of 2012
24/176
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
7/29/2019 Research on Hollywood movies of 2012
25/176
7/29/2019 Research on Hollywood movies of 2012
26/176
7/29/2019 Research on Hollywood movies of 2012
27/176
7/29/2019 Research on Hollywood movies of 2012
28/176
7/29/2019 Research on Hollywood movies of 2012
29/176
7/29/2019 Research on Hollywood movies of 2012
30/176
7/29/2019 Research on Hollywood movies of 2012
31/176
7/29/2019 Research on Hollywood movies of 2012
32/176
7/29/2019 Research on Hollywood movies of 2012
33/176
7/29/2019 Research on Hollywood movies of 2012
34/176
7/29/2019 Research on Hollywood movies of 2012
35/176
7/29/2019 Research on Hollywood movies of 2012
36/176
7/29/2019 Research on Hollywood movies of 2012
37/176
7/29/2019 Research on Hollywood movies of 2012
38/176
7/29/2019 Research on Hollywood movies of 2012
39/176
7/29/2019 Research on Hollywood movies of 2012
40/176
7/29/2019 Research on Hollywood movies of 2012
41/176
7/29/2019 Research on Hollywood movies of 2012
42/176
7/29/2019 Research on Hollywood movies of 2012
43/176
7/29/2019 Research on Hollywood movies of 2012
44/176
7/29/2019 Research on Hollywood movies of 2012
45/176
7/29/2019 Research on Hollywood movies of 2012
46/176
7/29/2019 Research on Hollywood movies of 2012
47/176
First weekend collection($) in Mi
Mean 15.06629285
Variance 228.0955534
Observations 34
Hypothesized Mean Differe 0
df 34
t Stat -3.498155532
P(T
7/29/2019 Research on Hollywood movies of 2012
48/176
7/29/2019 Research on Hollywood movies of 2012
49/176
7/29/2019 Research on Hollywood movies of 2012
50/176
7/29/2019 Research on Hollywood movies of 2012
51/176
7/29/2019 Research on Hollywood movies of 2012
52/176
7/29/2019 Research on Hollywood movies of 2012
53/176
7/29/2019 Research on Hollywood movies of 2012
54/176
7/29/2019 Research on Hollywood movies of 2012
55/176
7/29/2019 Research on Hollywood movies of 2012
56/176
Upper 95.0%
20.1877011
9.464040298
7/29/2019 Research on Hollywood movies of 2012
57/176
7/29/2019 Research on Hollywood movies of 2012
58/176
7/29/2019 Research on Hollywood movies of 2012
59/176
7/29/2019 Research on Hollywood movies of 2012
60/176
7/29/2019 Research on Hollywood movies of 2012
61/176
7/29/2019 Research on Hollywood movies of 2012
62/176
7/29/2019 Research on Hollywood movies of 2012
63/176
7/29/2019 Research on Hollywood movies of 2012
64/176
7/29/2019 Research on Hollywood movies of 2012
65/176
7/29/2019 Research on Hollywood movies of 2012
66/176
7/29/2019 Research on Hollywood movies of 2012
67/176
7/29/2019 Research on Hollywood movies of 2012
68/176
7/29/2019 Research on Hollywood movies of 2012
69/176
7/29/2019 Research on Hollywood movies of 2012
70/176
7/29/2019 Research on Hollywood movies of 2012
71/176
7/29/2019 Research on Hollywood movies of 2012
72/176
7/29/2019 Research on Hollywood movies of 2012
73/176
7/29/2019 Research on Hollywood movies of 2012
74/176
7/29/2019 Research on Hollywood movies of 2012
75/176
7/29/2019 Research on Hollywood movies of 2012
76/176
7/29/2019 Research on Hollywood movies of 2012
77/176
7/29/2019 Research on Hollywood movies of 2012
78/176
7/29/2019 Research on Hollywood movies of 2012
79/176
7/29/2019 Research on Hollywood movies of 2012
80/176
7/29/2019 Research on Hollywood movies of 2012
81/176
7/29/2019 Research on Hollywood movies of 2012
82/176
7/29/2019 Research on Hollywood movies of 2012
83/176
7/29/2019 Research on Hollywood movies of 2012
84/176
7/29/2019 Research on Hollywood movies of 2012
85/176
7/29/2019 Research on Hollywood movies of 2012
86/176
7/29/2019 Research on Hollywood movies of 2012
87/176
7/29/2019 Research on Hollywood movies of 2012
88/176
7/29/2019 Research on Hollywood movies of 2012
89/176
7/29/2019 Research on Hollywood movies of 2012
90/176
7/29/2019 Research on Hollywood movies of 2012
91/176
7/29/2019 Research on Hollywood movies of 2012
92/176
7/29/2019 Research on Hollywood movies of 2012
93/176
7/29/2019 Research on Hollywood movies of 2012
94/176
7/29/2019 Research on Hollywood movies of 2012
95/176
7/29/2019 Research on Hollywood movies of 2012
96/176
Budget ($)in Millions
Mean 25.72307692
Variance 591.2858462
Observations 26
Hypothesized Mean Diff 0
df 34
t Stat -1.225549156
P(T
7/29/2019 Research on Hollywood movies of 2012
97/176
Coefficients
Intercept -10.49446037
Budget ($)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
Budget ($)in Millions Residual Plot
7/29/2019 Research on Hollywood movies of 2012
98/176
7/29/2019 Research on Hollywood movies of 2012
99/176
Gross ($) 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
7/29/2019 Research on Hollywood movies of 2012
100/176
7/29/2019 Research on Hollywood movies of 2012
101/176
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
7/29/2019 Research on Hollywood movies of 2012
102/176
7/29/2019 Research on Hollywood movies of 2012
103/176
7/29/2019 Research on Hollywood movies of 2012
104/176
7/29/2019 Research on Hollywood movies of 2012
105/176
Upper 95.0%
7.087096462
2.481131551
7/29/2019 Research on Hollywood movies of 2012
106/176
7/29/2019 Research on Hollywood movies of 2012
107/176
7/29/2019 Research on Hollywood movies of 2012
108/176
7/29/2019 Research on Hollywood movies of 2012
109/176
7/29/2019 Research on Hollywood movies of 2012
110/176
7/29/2019 Research on Hollywood movies of 2012
111/176
7/29/2019 Research on Hollywood movies of 2012
112/176
7/29/2019 Research on Hollywood movies of 2012
113/176
7/29/2019 Research on Hollywood movies of 2012
114/176
7/29/2019 Research on Hollywood movies of 2012
115/176
7/29/2019 Research on Hollywood movies of 2012
116/176
7/29/2019 Research on Hollywood movies of 2012
117/176
7/29/2019 Research on Hollywood movies of 2012
118/176
7/29/2019 Research on Hollywood movies of 2012
119/176
7/29/2019 Research on Hollywood movies of 2012
120/176
7/29/2019 Research on Hollywood movies of 2012
121/176
7/29/2019 Research on Hollywood movies of 2012
122/176
7/29/2019 Research on Hollywood movies of 2012
123/176
7/29/2019 Research on Hollywood movies of 2012
124/176
7/29/2019 Research on Hollywood movies of 2012
125/176
7/29/2019 Research on Hollywood movies of 2012
126/176
7/29/2019 Research on Hollywood movies of 2012
127/176
7/29/2019 Research on Hollywood movies of 2012
128/176
7/29/2019 Research on Hollywood movies of 2012
129/176
7/29/2019 Research on Hollywood movies of 2012
130/176
7/29/2019 Research on Hollywood movies of 2012
131/176
7/29/2019 Research on Hollywood movies of 2012
132/176
7/29/2019 Research on Hollywood movies of 2012
133/176
7/29/2019 Research on Hollywood movies of 2012
134/176
7/29/2019 Research on Hollywood movies of 2012
135/176
7/29/2019 Research on Hollywood movies of 2012
136/176
7/29/2019 Research on Hollywood movies of 2012
137/176
7/29/2019 Research on Hollywood movies of 2012
138/176
7/29/2019 Research on Hollywood movies of 2012
139/176
Drama
7/29/2019 Research on Hollywood movies of 2012
140/176
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 ($)in Millions
Budget ($)in Millions 1
First week collection($) i 0.386608264
Gross ($) in Millions 0.510235419
Length in minutes 0.591570074
Viewer Rating -0.109305766
Budget ($)in Millions
Mean 93
Variance 2852.666667
Observations 4
Hypothesized Mean Differe 0
df 5
t Stat -0.961115181
P(T
7/29/2019 Research on Hollywood movies of 2012
141/176
Regression Model
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.591570074
R Square 0.349955153
Adjusted R Square 0.02493273
Standard Error 52.74032518
Observations 4
ANOVA
df
Regression 1
Residual 2
Total 3
Coefficients
Intercept -15.30259806
Length in minutes 0.873408049
RESIDUAL OUTPUT
Observation redicted Budget ($)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
7/29/2019 Research on Hollywood movies of 2012
142/176
7/29/2019 Research on Hollywood movies of 2012
143/176
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
7/29/2019 Research on Hollywood movies of 2012
144/176
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
7/29/2019 Research on Hollywood movies of 2012
145/176
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****
7/29/2019 Research on Hollywood movies of 2012
146/176
7/29/2019 Research on Hollywood movies of 2012
147/176
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
7/29/2019 Research on Hollywood movies of 2012
148/176
mov e
ny
7/29/2019 Research on Hollywood movies of 2012
149/176
7/29/2019 Research on Hollywood movies of 2012
150/176
7/29/2019 Research on Hollywood movies of 2012
151/176
7/29/2019 Research on Hollywood movies of 2012
152/176
7/29/2019 Research on Hollywood movies of 2012
153/176
7/29/2019 Research on Hollywood movies of 2012
154/176
7/29/2019 Research on Hollywood movies of 2012
155/176
7/29/2019 Research on Hollywood movies of 2012
156/176
7/29/2019 Research on Hollywood movies of 2012
157/176
7/29/2019 Research on Hollywood movies of 2012
158/176
7/29/2019 Research on Hollywood movies of 2012
159/176
7/29/2019 Research on Hollywood movies of 2012
160/176
7/29/2019 Research on Hollywood movies of 2012
161/176
7/29/2019 Research on Hollywood movies of 2012
162/176
7/29/2019 Research on Hollywood movies of 2012
163/176
7/29/2019 Research on Hollywood movies of 2012
164/176
7/29/2019 Research on Hollywood movies of 2012
165/176
7/29/2019 Research on Hollywood movies of 2012
166/176
7/29/2019 Research on Hollywood movies of 2012
167/176
7/29/2019 Research on Hollywood movies of 2012
168/176
7/29/2019 Research on Hollywood movies of 2012
169/176
7/29/2019 Research on Hollywood movies of 2012
170/176
7/29/2019 Research on Hollywood movies of 2012
171/176
7/29/2019 Research on Hollywood movies of 2012
172/176
7/29/2019 Research on Hollywood movies of 2012
173/176
7/29/2019 Research on Hollywood movies of 2012
174/176
7/29/2019 Research on Hollywood movies of 2012
175/176
7/29/2019 Research on Hollywood movies of 2012
176/176
Sci-Fi