IEN 515/616 - Introduction to Applied Data Analytics
Fall
2022
Individual
Project
1
Data Set Information:
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process "symbolling". A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.
The third factor is the relative average loss payment per insured vehicle year. This value is normalized for all autos within a particular size classification (two-door small, station wagons, sports/specialty, etc...), and represents the average loss per car per year.
Attribute Information:
Attribute: Attribute Range
1. symbolling: -3, -2, -1, 0, 1, 2, 3.
2. normalized-losses: continuous from 65 to 256.
3. make:
alfa-romero, audi, bmw, chevrolet, dodge, honda,
isuzu, jaguar, mazda, mercedes-benz, mercury,
mitsubishi, nissan, peugot, plymouth, porsche,
renault, saab, subaru, toyota, volkswagen, volvo
4. fuel-type: diesel, gas.
5. aspiration: std, turbo.
6. num-of-doors: four, two.
7. body-style: hardtop, wagon, sedan, hatchback, convertible.
8. drive-wheels: 4wd, fwd, rwd.
9. engine-location: front, rear.
10. wheel-base: continuous from 86.6 120.9.
11. length: continuous from 141.1 to 208.1.
12. width: continuous from 60.3 to 72.3.
13. height: continuous from 47.8 to 59.8.
14. curb-weight: continuous from 1488 to 4066.
15. engine-type: dohc, dohcv, l, ohc, ohcf, ohcv, rotor.
16. num-of-cylinders: eight, five, four, six, three, twelve, two.
17. engine-size: continuous from 61 to 326.
18. fuel-system: 1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi.
19. bore: continuous from 2.54 to 3.94.
20. stroke: continuous from 2.07 to 4.17.
21. compression-ratio: continuous from 7 to 23.
22. horsepower: continuous from 48 to 288.
23. peak-rpm: continuous from 4150 to 6600.
24. city-mpg: continuous from 13 to 49.
25. highway-mpg: continuous from 16 to 54.
26. price: continuous from 5118 to 45400.
Number of Instances: 205
Number of Attributes: 26 total
-- 15 continuous
-- 1 integer
-- 10 nominal
-
Predict price of car using all numeric and Boolean attributes.
-
Apply
a
simple
method
to
identify
outliers
and/or
missing
points.
-
Use
basic
regression
analysis
to
answer
your
questions.
-
Use
one
hypothesis
testing
and
few
residual
plots
as
well
in
your discussion of results.
-
Use
forward
and
backward
selection
strategy
and
discuss
your
results.
-
Develop
a
method
to
find
the
least
complex
model
with
a
reasonable
accuracy.
Deliverables
(PDF
file
of
the
report
+
R
codes as Colab notebook)
Important
Notes:
-
Your
R
codes should
be
reference
to
each
section
in
the
report.
-
Not
following
the
format
would
result
in
2%
penalty.
-
Write
is as a
simple
academic paper (e.g.,
include
introduction,
model,
results, discussion & conclusion)