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

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

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

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

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

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)

SUMMARY OF OUTPUTRegression Statistics

Multiple R0.53429283

5

R Square0.28546883

3Adjusted R Square

0.243437588

Standard Error87.3717398

3Observations 19

VALUE V/S REVENUE REGRESSION ANALYSIS

0 100 200 300 400 500 600 700 8000

50

100

150

200

250

Value-Revenue

SUMMARY OF OUTPUTRegression Statistics

Multiple R 0.964709535R Square 0.930664486Adjusted R Square 0.928188218Standard Error 35.36768078

Observations 30

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.