Statistics 601  Assignment 6
due Tuesday, 18 October 2016
Do not turn in unedited computer output for problems worked on a computer. Cut/paste the
relevant plots and/or tables and include them into your interpretation as if you were writing a
technical report.
Provide only material that supports your answers.
1.
Sulfur dioxide (SO
2
) pollution is a known cause for corrosion of exposed steel.
To document this
effect in actual conditions, steel weight loss (gm/m
3
/yr) was measured at 36 locations in a large city,
along with the rate at which SO
2
was deposited (mg/m
2
/day).
The data are given below (
steel.csv
).
SO2
Loss
SO2
Loss
SO2
Loss
SO2
Loss
SO2
Loss
SO2
Loss
22.6
580
42.7
951
33.0
990
21.0
495
33.5
813
40.4
940
26.1
563
30.4
794
14.2
551
15.8
496
30.2
770
27.9
687
19.1
339
17.9
461
37.4
856
13.7
353
20.1
556
39.4
919
17.2
346
30.4
757
16.2
443
24.7
724
22.8
557
25.1
590
25.0
623
27.8
573
27.7
802
23.7
602
39.9
1001
28.6
640
16.8
420
27.8
656
22.7
657
30.7
639
15.5
432
29.7
702
a)
Obtain an estimate of the correlation between steel loss and sulfur dioxide deposition rate and
interpret it. Give a 95% confidence interval for its value.
(Use the method shown in class and
then check with JMP.)
b)
Plot the data with steel weight loss rate as the response variable and sulfur dioxide deposition
rate as the predictor.
c)
Estimate the regression line, assuming a straight line model is appropriate.
Interpret it as the
conditional mean of the response, given the predictor.
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 Fall '16
 Normal Distribution, Regression Analysis, Sulfur dioxide, sulfur dioxide deposition, steel weight loss

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