• Corpus ID: 15427390

Linear Regression Models with Logarithmic Transformations

@inproceedings{Benoit2011LinearRM,
  title={Linear Regression Models with Logarithmic Transformations},
  author={Kenneth Benoit},
  year={2011}
}
  • K. Benoit
  • Published 2011
  • Geology, Computer Science
Remember that we are using natural logarithms, where the base is e ≈ 2.71828. Logarithms may have other bases, for instance the decimal logarithm of base 10. (The base 10 logarithm is used in the definition of the Richter scale, for instance, measuring the intensity of earthquakes as Richter = log(intensity). This is why an earthquake of magnitude 9 is 100 times more powerful than an earthquake of magnitude 7: because 109/107 = 102 and log10(10 2) = 2.) 

Tables from this paper

The Grammar of Science: Let’s ‘Log’ (Part 1)
Many statistical procedures have the assumption that the variables in the model should be normally distributed. A significant violation of the assumption can increase errors in study conclusion,
INTERPRETING TRANSFORMED VARIABLE COEFFICIENT (UNLOGGED COEFFICIENT/ PERCENTAGE) IN A LOGGED REGRESSION MODEL
Abstract: As a result of perennial economic policies in-appropriation or insufficiency in curbing economic problems, the paper investigated the interpretation of transformed variable coefficient in a
Education Stock and its Implication for Income Inequality: The Case of Asian Economies
This study develops a quadratic relationship between education and income inequality among Asian developing economies for the period from 1960 to 2015. Panel cointegration and fully modified OLS is
Prediction of Maximum Monthly Rainfalls for Different Return Periods using Frequency Factor Analysis for Dhemaji Region in Assam, India
Maximum monthly rainfall data of Dhemaji region in Assam, India for a period of 35 years (1980-2014) were analyzed. The expected maximum monthly rainfalls by using the frequency factor approach for
Does height matter for earnings? Evidence from Russia
TLDR
This study explores the link between height and earnings, using data from the Russian Longitudinal Monitoring Survey for the year 2015, and suggests that height is a significant predictor of earnings in Russia.
Machine learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets
TLDR
Regression models are used to replicate modelled air pollutant concentrations from LES in urban boulevards and it is shown that in general, log-linear regression gives the best and most robust performance on new independent data.
The impact of age and familiarity with the environment on categorical and coordinate spatial relation representations.
TLDR
New evidence is provided for the role of familiarity with geographical areas and its impact on the representation of categorical and coordinate relations, with practical implications for the assessment of topographical disorientation in aging.
Income Inequality: Do Different Inequality Measures Show Different Impacts on Economic Growth, at the State Level? An Analysis of the State of New Jersey
This paper investigates whether the use of different inequality measures is instrumental in determining impact on economic growth at the State level. We find that different measures show different
Application of General Linear Models (GLM) to Assess Nodule Abundance Based on a Photographic Survey (Case Study from IOM Area, Pacific Ocean)
The success of the future exploitation of the Pacific polymetallic nodule deposits depends on an accurate estimation of their resources, especially in small batches, scheduled for extraction in the
Exploration of Role of Economic Globalization on Human Longevity
Recent developments which were coined to the opening up of borders have attracted interest of many researchers from many disciplines. A lot of work can be observed regarding the role of globalization
...
...