All Questions
Tagged with logarithm linear-model
20
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Log Transforming variables already in percentage [duplicate]
I'm running a regression analysis and I'd like to know if log transforming a percentage value is ok. My y-values are already in percentages and my x-values in absolute numbers. But I'd like to know by ...
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Should I use log transformation on Target Encoding values to avoid heteroscedasticity?
The dataset I'm working with contains categorical variables with several classes. To do its pre-processing I chose to use Target Encoder.
With numerical variables I used MinMaxScaler. When training ...
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74
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E appearing in Regression table [duplicate]
I am trying to run a regression between oil price in the US over a 60 year period and REAL GDP. I have run a simple linear regression (I also do not know if this is appropriate or not--should I be ...
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711
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X intercept of a log-log linear model in R using lm ()
A linear regression on dependent and predictor variable was run on simulated data after log transformation.
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Log-Log model errors are not normal
I am trying to model sales as a function of various variables (debt, number of employees, competitors etc.). For this I have transformed both dependent and independent variables using natural ...
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Normal Linear Model: Prediction of original variable from log transformed variable? [duplicate]
Suppose we have observations $(x_1,y_1),\dots, (x_n,y_n)$ which for some reason cannot be modelled reasonably using a Normal Linear Model. Assume we instead model the log transformed response ...
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66
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What is the equation of a line fitting a log-log model computed in R?
I am currently stuck, wanting to extract a line function from my fitted line on my log-log model.
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35
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When should I transform variables? [duplicate]
I am a bit confused when to use, and how to identify the need to use the following transformations: log, quadratic and inverse, in a linear model.
Usually the models I'm looking at have around 8-10 ...
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Log-transform independent variables in a linear model
I have a linear model where some independent variables are probabilities (such as word predictability) and some are integers which are greater than 1 (such as years of experience). However, for all of ...
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65
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Converting coefficients from a linear model into percentages
I've got two different sets of regression models, one set is linear and the other log-log. The two models have the same independent variables but different dependent variables. I'm looking for a way ...
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380
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What types of transformation besides logarithm can I use for a linear regression? [closed]
I'm used to use log transformation in linear regression, most of times so I can get a normally distributed variable (even though I know this is not a requirement). I was wondering, what other ...
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51
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Alternative to plug-in estimation for log-tranformed linear model
I want to estimate a relationship of the form:
$$y=ax^b\times\epsilon$$
If I log this model i get:
$$\log(y)=\log(a)+b\log(x)+ \log(\epsilon)$$
If I then proceed and estimate this model using a ...
- 3,104
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268
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Why do we use natural logarithm in categorical outcome variables
I'm reading a chapter on categorical outcome variables (chi-square & log linear analysis) and the author, in an effort of fitting a linear model, said that because the outcome variable is a ...
1
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1
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144
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Log-transformations and concave functions
Consider a linear equation $O = SW$ with $O \in \mathbb{R}^{g \times n}, S \in \mathbb{R}^{g \times k}, W \in \mathbb{R}^{k \times n}$, with $g \gg n, g \gg k, k < n$. $W$ is a frequency matrix and ...
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Logged control variable in linear probability model
I am wondering how a logged control variable is interpreted in a linear probability model. The interpretation in the following lin-log model is clear:
(1) y = b0 + b1*log(x1)
Here, a 1% increase in ...
