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Regression
The entries on this page have been classified as follows:
Simple linear regression
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Artifical data (based on Pythagorus' theorem)
Artificial data based on Pythagorus' Theorem, showing regression diagnostics can fail to indicate non-linear relationships
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AFL Football Department spending and results
Spending of AFL clubs compared to performance
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Desorbtion of carbon monoxide
A designed experiment with 22 observations; the variance could be non-constant
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Boiling point in the Alps
A small, simple example of regression.
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Food prices
A small, simple example of regression.
There may be two outliers.
A log-transform is probably needed to produce constant variance.
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Two assay experiments for a hormone
A small, simple example of regression with non-constant variance.
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TV advertisements
A small, simple example of regression,
but with many issues to be considered before a good model is found.
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Alcohol and tobacco (not for release)
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Fish prices
A small, simple example of regression with non-constant variance
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Shocking rats
A small, simple example of regression.
There is a suggestion of non-linearity.
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CEO salaries
A small, simple example of regression.
The regression, however, is not significant.
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Height and pulse rate
The relationship is not very strong.
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Cotton yields
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Height and resting pulse
The heights and resting pulses for a sample of hospital patients.
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Statures of brother and sister
The heights of 11 pairs of brothers and sisters.
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Brisbane Lions crowds
The number of members and average crowds sizes
for the Brisbane Lions (formerly Brisbane Bears)
Australian Rules Football club
from 1987 (Brisbane's first year in the competition)
to 2003 (but not till season's end).
Multiple regression
In some of these examples,
the predictors are quantitative but may be considered as factors.
Regression with factors
In some of these examples,
the predictors are considered as factors even though they may be quantitative.
Transformations
Multiple transforms possible
Reciprocal transformation
Log transformations
Outliers
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Cigarette data
A small data set (25 observations on five variables)
with an outlier, and two variables collinear
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TV advertisements
A small, simple example of regression,
but with many issues to be considered before a good model is found.
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Alcohol and tobacco (not for release)
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Food prices
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Lunacy
A knowledge of the geography is useful here.
Non-linear regression
Also see:
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