business analytics assignment-sajitha

7/24/2019 Business Analytics Assignment-sajitha

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BUSINESS ANALYTICS ASSIGNMENTRE-TEST

Submitted by: Sajitha Nair

Roll no: 2014A53

INDEX

QUESTION 1:...............................................................................................1

Analysis:.................................................................................................1

Step 1:.................................................................................................1

Step 2:.................................................................................................1

Step : !MO an" Ba#tlett$s Test...................................................................2


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Step %: C&''(nalities.............................................................................

Step ): T& "ete#'ine n('*e# &+ ,&'p&nents..................................................

Step -: T& "ete#'ine a#ia*les in ea,/ ,&'p&nent...........................................)

Step 0: T& ,/e, t/e #elia*ility &+ ea,/ ,&'p&nent...........................................-

Step : 3e'&e ,&'p&nent an" ,&'p&nent % as t/ey a#e n&t si4ni+i,ant..............

Step 5:.................................................................................................5

Step 16: C/e, 3elia*ility &+ ea,/ ,&'p&nent...............................................16

QUESTION 2:..............................................................................................12

ANALYSIS:...............................................................................................12

Bl&, 1: Met/&" 7 Ba,8a#" Step8ise 9Lieli/&&" 3ati&.....................................12

T/e 3e4#essi&n E;(ati&n.............................................................................10

QUESTION 1:A music frm has collected data on music preerences o 1500 respondents. The data are in

the fle music.sav. The music preerences cover a broad range o categories (look at thevariables in the fle). The music frm wants a broad segmentation o the music preerences

o a actor anal!sis to ascertain the actor structure o the data. "hat are the segments

!ou can identi!# "rite down the table o actor loadings.

Analysis:

Step 1:$pen the music.sav fle on the %&%% platorm. The fle contains music preerences o

respondants or 'igband usic 'luegrass usic *ountr! "estern usic 'lues or + , '

usic 'roadwa!s usicals *lassical usic -olk usic $pera +ap usic and eav!

etal usic. A likert / point scale is used or the surve!.


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Step 2:Anal!e imension +eduction -actor

%elect all the music bands into variable list.

nder escriptives $ption select

*oe2icients

Anti34mage

$ and 'artlett6s test o sphericit!

nder 78traction $ption select

%cree &lot

nder +otation select

9arima8

nder %cores select

%ave as 9ariables

nder $ptions select %orted b! sie

+un the anal!sis

Step : !MO an" Ba#tlett$s Test

aiser3e!er3$lkin easure o %ampling Ade:uac! 3 This measure varies between 0 and 1

and values closer to 1 are better. A value o .5 is a suggested minimum.

ere $ ; 0. ? 0.5 thereore signifcant

'artlett@s Test o %phericit!

Bull !pothesis states that the correlation matri8 is an identit! matri8.


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ere %ig. ; .000 C0.05

"e reDect the null h!pothesis.

Taken together $ and 'artlett6s Test sa!s that the data is signifcant or actor anal!sis

Step %: C&''(nalities

The values in this *ommunalities column indicate the proportion o each variable@s varianc

that can be e8plained b! the retained actors. 9ariables with high values are well

represented in the common actor space while variables with low values are not well

represented.

inimum *riteriaE The e8traction value or each variable F 0.5

ere all actors have signifcant loading since the e8traction value or each variable F 0.5

Step ): T& "ete#'ine n('*e# &+ ,&'p&nents


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The initial number o components is the same as the number o variables used in the acto

anal!sis. owever not all 11 components will be retained.

ere each variable has a variance o 1 and the frst component will account or variance o

G.H


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Step -: T& "ete#'ine a#ia*les in ea,/ ,&'p&nent

ere we w

consider

rotated

component

matri8because in

this case 9arima

+otation

tries to

ma8imie th

variance o

each o the

actors so

the total amoun

o varianceaccounted

or is redistributed over the

our e8tracted actors.

*omponent 1E *lassical usic $pera 'roadwa! usicals -olk usic 'ig 'and usic

*omponent HE 'lues or + , ' usic La usic

*omponent GE *ountr! "estern usic 'luegrass usic

*omponent =E eav! etal usic +ap usic

Step 0: T& ,/e, t/e #elia*ility &+ ea,/ ,&'p&nentAnal!e %cale +eliabilit! Anal!sis

4n %tatistics select

%cale i 4tem deleted

*riteriaE

*ronbach alpha is the measure o internal consistenc! that is how closel! related set o

items are in group

inimum *riteriaE *ronbach6s alpha F 0.

business analytics assignment-sajitha

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