Datasets

Phone data

Components

• year::Integer: years from 1950 to 1973.
• calls::Float64: phone calls (in millions).

Reference

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression & Outlier Detection. Wiley.

Stars in the CYG OB1 cluster

Components

• log_te::Float64: logarithm of the star's effective surface temperature.
• log_light::Float64: logarithm of the star's light intensity.

Outliers

Observations 11, 20, 30, and 34 are giant stars.

Reference

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression & Outlier Detection. Wiley, p. 27, Table 3.

Hawkins & Bradu & Kass data

Components

• x1::Float64: first independent variable.
• x2::Float64: second independent variable.
• x3::Float64: third independent variable.
• y::Float64: dependent (response) variable.

Reference

Hawkins, D.M., Bradu, D., and Kass, G.V. (1984) Location of several outliers in multiple regression data using elemental sets. Technometrics 26, 197–208.

Animals data

Components

• names::AbstractString: names of animals.
• body::Float64: body weight in kg.
• brain::Float64: brain weight in g.

References

 Venables, W. N. and Ripley, B. D. (1999) _Modern Applied
 Statistics with S-PLUS._ Third Edition. Springer.

 P. J. Rousseeuw and A. M. Leroy (1987) _Robust Regression and
 Outlier Detection._ Wiley, p. 57.

Weight loss data

Components

• days::Integer: time in days since the start of the diet program.
• weight::Float64: weight in kg.

Reference

 Venables, W. N. and Ripley, B. D. (1999) _Modern Applied
 Statistics with S-PLUS._ Third Edition. Springer.

Stack loss data

Components

• airflow::Float64: flow of cooling air (independent variable).
• watertemp::Float64: cooling water inlet temperature (independent variable).
• acidcond::Float64: concentration of acid (independent variable).
• stackloss::Float64: stack loss (dependent variable).

Outliers

Observations 1, 3, 4, and 21 are outliers.

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S Language_.  Wadsworth & Brooks/Cole.

Dodge, Y. (1996) The guinea pig of multiple regression. In: _Robust Statistics, Data Analysis, and Computer Intensive Methods;
In Honor of Peter Huber's 60th Birthday_, 1996, _Lecture Notes in Statistics_ *109*, Springer-Verlag, New York.

Hadi & Simonoff (1993) Random data

Components

• x1::Float64: Random values.
• x2::Float64: Random values.
• y::Float64: Random values (independent variable).

Outliers

Observations 1, 2, and 3 are outliers.

References

Hadi, Ali S., and Jeffrey S. Simonoff. "Procedures for the identification of multiple outliers in linear models." Journal of the American Statistical Association 88.424 (1993): 1264-1272.

Modified Wood Gravity Data

Components

• x1::Float64: Random values.
• x2::Float64: Random values.
• x3::Float64: Random values.
• x4::Float64: Random values.
• x5::Float64: Random values.
• y::Float64: Random values (independent variable).

References

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection. Wiley, p.243, table 8.

Scottish Hill Races Data

Components

• dist::AbstractVector{Float64}: Distance in miles (Independent).
• climb::AbstractVector{Float64}: Heights in feet (Independent).
• time::AbstractVector{Float64}: Record times in hours (Dependent).

Model

time ~ dist + climb

References

A.C. Atkinson (1986) Comment: Aspects of diagnostic regression analysis. Statistical Science 1, 397-402.

Soft Drink Delivery Data

Components

• cases::AbstractVector{Float64}: Independent variable.
• distance::AbstractVector{Float64}: Independent variable.
• time::AbstractVector{Float64}: Dependent variable.

Model

time ~ distance + cases

Reference

D. C. Montgomery and E. A. Peck (1992) Introduction to Regression Analysis. Wiley, New York.