Statistics/Marketing Analytics(Excel Solver, BCG Matrix, Discriminant Analysis, Regression)

Assignment Requirements

Review and answer completely each of the questions attached in the document (MKT 609= Examination 2). Submit your answers in an uploaded document (e.g., PDF, Excel spreadsheet) via Blackboard.
This assignment requires students to apply knowledge of marketing analytics via computations, interpretations, and short answers.
Answers should be uploaded in one single document to Blackboard. Supporting evidence of work (e.g., computations) should be copied and pasted in the uploaded document and also provided separately.
Topics include in this exam: Solver, BCG Matrix, Discriminant Analysis, Regression, …
Marketing*Analytics*(MKT*609)
Examination*2*|*Part*2*(10*Points)
Instructions: Review% and% answer% completely% each% of% the% questions% presented% below.% Submit% your%
be%awarded%if%supporting%work%is%provided. Collaboration%with%other%individuals%is%strictly%prohibited.
Note:&Four&extra/non.penalty&points&are&built&into&this&part&of&the&examination.&
Question*1 (2 Points)
Shopping*for*Children’s*Clothing*and*Toys |*Data:*Provided*below.
clothing%and%toys%for%their%children,%Jacob%and%Jennifer.%Alas,%the%moving%company%somehow%lost%all%
of% the% children’s% possessions in transit. The% family% is% new% to% the% area,% but% they% have% received%
reflect% the%“data”%given% to% John%and% Susan.%All% things%being% equal,%where%will% this%couple%likely%go%
Q Shopping%Mall A:%80,000%square%feet,%7%miles
Q Shopping%Mall%B: 125,000%square%feet,%11 miles
Q Shopping%Mall%C:%110,000%%square%feet,%7 miles
Question*2*(4 Points)
Atlantic*City*Casinos – Portfolio*and*Performance*|*Data:*DOAC_data.xlsx
New% Jersey’s% Casino% Control% Commission% provides% historical% data% about% Atlantic% City’s% casinos.%
Review%the%2010%and%2009%data%provided%for%slot%machines%at%those casinos.%For\$Caesars,%develop%(a)%
a%thorough%market%share%analysis%and%(b)%Boston%Consulting%Group%Matrix. Treat%each%slot%machine%
denomination%like%a product%category. Provide%a%concise%statement%that%summarizes your%analysis.
Relevant%items:%category growth,%relative%share,%bubble%size,%product%bubble%(\$.02,%\$5,…)%positions
Question 3 (2 Points)
Fast*Food*Consumption*|*Data:*FastFood_spss_discriminantoutput.pdf
You%decided%to%outsource%a%research%study%on%fast%food%as%it%relates%to%sex/gender.%123EasyResearch%
has%just%eQmailed%you%some%SPSS%output%for%a%discriminant%analysis%with%no%description%of%the%results.%
Tomorrow%morning,%you% have% to%present% the%meaning%of% this%output% to%your%boss.% So,%what% is% the%
message%that%you%will%present%as%it% relates%to% (a)%explanatory%power%of%the%discriminant%model,% (b)%
predictive%accuracy%of%the%model,%and%(c)%the%top%three%variables%that%contribute%best%to%the%model?Page%2 of%2
Question*4 (2*Points)
Baby*Diapers |*Data:*Pampers_data.xlsx
a) Produce%a%correlation%matrix that%includes%all%eight%variables.
What%three%variables%exhibit%the%strongest%correlation%with%brand%preference?
b) Run% a% regression% analysis% with% brand% preference% as% the% outcome% and% the% remaining% seven%
variables%as%predictors.
What%is%the%model’s%explanatory%power?%Which%predictors%are%statistically%significant?%Which%
predictors%have%the%largest%influence%on%the%outcome?
Question*5 (4 Points)
Gourmet*Food*Truck*Challenges |*Data:*Provided*below.
Sharon are% quite% worried.% They% need% to% make% at% least% \$1900% this% month to% cover%their% truck% and%
equipment%leases.%They%just%cannot%imagine%how%that%goal could be%accomplished.%They%desperately%
need%your%expert%and%trusted%opinion. You%graciously%agree%to%help%them.
You%must%give%Denita%and%Sharon%only%one%of%two%messages:
a) Tell% them% that%they%are right.% There% is just%no%feasible%way% to%make% \$1900 this%month. The%
b) Tell% them% to% relax%and% focus.% Show% them%how% they%can%achieve% their%goal%of%making%\$1900%
Data%provided%by%Denita%and%Sharon:
# 3 Products
o A+%Gourmet%chicken%cheese%steak,%priced%at%\$2.50
# Constraints
o Enough%ingredients%for%up%to%300%Summa%Cum%Laude%cheese%steaks
o Enough%special%sauce%for%up%to%450%4.0%and%Summa%Cum%Laude%cheese%steaks%
Q END%Q

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