major league baseball values-case study
DESCRIPTION
Quantitative Management, Factor Analysis, ANOVA AnalysisTRANSCRIPT
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CASE STUDY
Submitted to
Prof. Manish Thaker
Presented by
Group 10Darshit Paun 20131010
Manit Brahmbhatt 20131020
Nisarg Shah 20131030
Raman Shahi 20131040
Shirshendu Mandal 20131050
Vishant Saini20131060
QUANTITATIVEMANAGEMENT II
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DATA ANALYSIS
New Y
ork Ya
nkee
s
New Y
ork Met
s
Los A
ngeles
Dod
gers
Bosto
n Red
Sox
Atlant
a Bra
ves
Seat
tle M
ariner
s
Cleve
land
Indian
s
Texa
s Ran
gers
San
Fran
cisco
Giant
s
Color
ado
Rockie
s
Houston
Astro
s
Baltim
ore
Orioles
Chica
go C
ubs
Arizon
a Dia
mon
dbac
ks
St. L
ousi
Cardina
ls
Detro
it Tige
rs
Pitts
burg
h Pira
tes
Milw
auke
e Bre
wers
Phila
delphia
Philli
es
Chica
go W
hite
Sox
Sand
Diego
Pad
res
Cincin
nati
Reds
Anahe
im A
ngels
Toro
nto
Blue
Jays
Oakland
Ath
letic
s
Kans
as C
ity R
oyals
Tam
pa B
ay D
evil R
ays
Florid
a Mar
lins
Minne
sota
Twin
s
Mon
treal E
xpos
-100
0
100
200
300
400
500
600
700
800
Value Revenue Income Chart
Value Revenue Income
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DESCRIPTIVE STATISTICS
Value Revenue Income
Mean 286.3119.433
32.47333
3Median 266.5 118.5 3.85Mode - 108 9.5Standard Deviation
129.76187
33.05922
10.67339
Variance16838.14
31130.59
9117.849
6Minimum 108 63 -29.6Maximum 730 215 18.8
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VALUE V/S INCOME REGRESSION ANALYSIS
0 100 200 300 400 500 600 700 800
-40
-30
-20
-10
0
10
20
30
Value-Income
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SUMMARY OF OUTPUT
Regression Statistics
Multiple R 0.185700218
R Square 0.034484571
Adjusted R Square 1.87691E-06
Standard Error 131.9800601
Observations 30
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VALUE V/S INCOME (POSITIVE) REGRESSION ANALYSIS
0 100 200 300 400 500 600 700 8000
2
4
6
8
10
12
14
16
18
20
Value-Income (Positive)
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SUMMARY OF OUTPUTRegression Statistics
Multiple R0.53429283
5
R Square0.28546883
3Adjusted R Square
0.243437588
Standard Error87.3717398
3Observations 19
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VALUE V/S REVENUE REGRESSION ANALYSIS
0 100 200 300 400 500 600 700 8000
50
100
150
200
250
Value-Revenue
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SUMMARY OF OUTPUTRegression Statistics
Multiple R 0.964709535R Square 0.930664486Adjusted R Square 0.928188218Standard Error 35.36768078
Observations 30
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ANALYSIS AND ITS INFERENCE• Value-Income relationship is not significant.
• It appears that value is the strongest predictor of revenue.
• There is a significant relationship between value and income if the
teams incurring losses are ignored from our analysis.
• The relationship between value and revenue is significant.
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