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COMM1190: DATA, INSIGHTS, AND DECISION
创建日期：2024-05-17 15:45:11
标签： COMM1190
DATA, INSIGHTS, AND DECISION

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COMM1190: DATA, INSIGHTS, AND DECISION

QUESTION 1
You have been brought in as a Data Science consultant on a court case. A chemical company
has been found negligent after a chemical spill at one of their plants. All that remains in the
court case is to decide on the extent of the damages for which the company is liable. One way
the court has been deciding on this amount is to look at the impact the spill has had on the
value of houses located near to the chemical plant where the spill occurred.
As the expert witness, you have been asked to evaluate some alternative strategies to
estimate the impact on housing prices (price). Strategy A involves taking a sample of sales
that occurred after the spill where the houses are classified as either being close to the plant
or not. This feature was designated by a variable near that was equal to 1 if the house was
deemed to be close to the chemical plant and zero otherwise. Then a regression analysis is
performed using the following model (MA):
: = 0 + 1 + .
Strategy B involves taking a sample of sales for houses near to the plant but where some
sales occurred before the spill and some after. The variable after is equal to 1 if the house
was sold after the spill and zero if the sale was before. Then a regression analysis is
performed using the following model (MB):
: = 0 + 1 + .
Part A.
Explain A and B as strategies to estimate the impact of the chemical spill and critically
evaluate each of them. Is either preferable to the other?
Part B.
Suggest an alternative regression model that is preferable to given that you only have data
from after the spill. Does this address all your criticisms of Strategy A that you outlined in part
(a)?
Part C.
Using housing data models MA and MB are estimated, and the results given below. How do
you interpret these results? (Note that is expressed in $1000)
� = 131.9 (4.0)− 40.0(7.6)
= 142, 2 = .165, ( . )
� = 63.7 (5.9)+ 28.3(9.1)
= 96, 2 = .094, ( . )
Part D.
Suppose you have sales both near and not near to the plant as well as sales before and after
the spill. Suggest an alternative strategy to estimate the effect of the oil spill on housing prices
that is preferable to both MA and MB?
Word Limit: 800 words for entire question (i.e., all subparts).
QUESTION 2
Imagine you work for a large department store, which highly values customer service. The
following chart shows how customers contact the customer service centres.
You begin to discuss the chart with your manager. Immediately, she has the following queries:
“I want to see the overall trends, but it is difficult to see with all the seasonal spikes in the time
series. I’d like a simpler view into the trend.” You decide to create some charts to address your
manager’s queries.
Part A.
Using the four frameworks typology, identify the type of chart you would use to address the
query and explain why.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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