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Regression

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by

Poy Kanokwan

on 14 June 2013

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Transcript of Regression

Objective
Group 2
Regression Analysis

Correlation Matrix of All Variables
Multicollinearity
Partial F Test
Introduction
Perform Multiple Regression
Variables
Dependent
Independent
- Dependent
- Independent
Qualitative Data
Quantitative Data
Genre
Rating
Season
Studio
1. Action (D1)




2. Comedy (D2)


1. Summer (D10)






2. Autumn (D11)

1. Sony (D4)

2. Warner Bros (D5)

3. Beuna Vista (D6)

4. Universal (D7)

5. Others
4. Life time average Director (Director = X4)





5. Opening Weekend (OW = X5)

6. Run Time (RT = X6)

1. Production Budget (PB = X1)

2. Life time average Actress (Actress = X2)





3. Life time average Actor (Actor = X3)
7. In release (IR = X7)

8. Widest Release (WR = X8)

1st Perform
2nd Perform
3rd Perform
Best Regression Model

To determine factors that effect to Domestic Total Gross of the American Movies
Y= Domestic Total Gross of the American Movie
3. Animation (D3)




4. Others
1. PG-13 (D8)

2. R (D9)

3. Others

- Total Gross: 10,836,000,000 USD (+6.5%)

- Number of Movies: 660

- Number of Tickets: 1,361.3million
Y = 13.943 + 2.810X5
Thank you for your attention
3. Winter (D12)






4. Spring

Process
Forecast Domestic Total Gross
= -83.388 + 2.498(28.402) + 0.553(100) + 0.430(77)
=
$76.02million
Actual Domestic Total Gross =
$71.62million
Forecast Domestic Total Gross
= -83.388 + 2.498(19.690) + 0.553(88) + 0.430(91)
=
$53.64million
Actual Domestic Total Gross =
$55.70million
Full transcript