Question: The article Mathematical Modeling of the Argon-Oxygen Decarburization Refining Process of Stainless Steel: Part II. Application of the Model to Industrial Practice (J. Wei and
The article Mathematical Modeling of the Argon-Oxygen Decarburization Refining Process of Stainless Steel:
Part II. Application of the Model to Industrial Practice (J. Wei and D. Zhu, Metallurgical and Materials Transactions
B, 2001:212217) presents the carbon content (in mass %) and bath temperature (in K) for 32 heats of austenitic
stainless steel. These data are shown in the following table.
Carbon% Temp.
19 1975
17 1984
18 1962
17 1983
23 1947
20 1991
19 1985
20 1966
22 1954
19 1965
19 1946
21 1972
16 1992
22 1963
15 1986
17 1989
17 1965
18 1949
20 1946
18 1984
18 1971
22 1960
22 1950
23 1967
12 2046
20 1960
15 1979
13 1954
24 1945
19 1953
15 1989
15 1977
a. Compute the least-squares line for predicting bath temperature (y) from carbon content (x).
b. Identify two outliers. Compute the two least-squares lines that result from the deletion of each outlier individually,
and the least-squares line that results from the deletion of both outliers.
c. Are the least-squares lines computed in parts (a) and (b) similar? If so, report the line that was fit to the full data
set, along with 95% confidence intervals for the slope and intercept. If not, report the range of slopes, without a
confidence interval.
Navidi, William (2014-01-24). Statistics for Engineers and Scientists (Page 586). McGraw-Hill Higher Education. Kindle Edition.
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