All Questions
Tagged with logarithm interpretation
61
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21
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Can the Log of PR AUC curve plot be any useful?
I was doing some tests regarding my PR curve for 2 different models (first image), and I got the idea of ploting the log of those curves (second image) to see if there were any insights that I could ...
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30
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Interpretation of log-transformed (simple) regression models - confirmation requested
I am ashamed to admit I never questioned this while obtaining my bachelor's in statistics but it's coming up again in grad school and I'm now realizing that I've been using approximations for ...
- 1
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1
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32
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Interpretation of estimates for 2 categorial factors and their interaction
I selected the best fitted gamlss model for my data :
gamlss(formula = Ratio ~ PROTECTION * JOUR, nu.formula = ~JOUR, family = BEINF, data = D_E1, trace = FALSE)
I want to interpret the output of ...
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38
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Interpretation of parameters in loglog-regression with scaled variables
Consider e.g the model $y = e^{\text{trend} + \text{seasonality}} \cdot \prod_{k \in \text{channels}} x_k^{b_k}$
where $i$ constrained $0 < b_k < 1$ (to capture diminishing marginal returns)
...
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15
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How do I interpret an independent variable which is a log(%)? [duplicate]
My linear regression is:
School's average test score ~ log(%FSM)
%FSM = the percentage of pupils at the school who are eligible for free school meals (an indicator of low socio-economic status).
The ...
- 21
1
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1
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128
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How do you interpret the PCA Score from data that has previously been logarithmic transformed?
I want to make financial inclusion by using PCA. Before I did PCA, I had done a logarithmic transformation on the data because my data was positive and highly skewed (I saw this from Jolliffe's book ...
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23
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Interpretation of coefficient on an interaction term of log(continuos x)*log(continuous y)
I would like to ask a question regarding the interpretation of log-log interaction term in the Two-way fixed effect model. I have the following regression model:
y_it = 𝛽_0 + 𝛽2[ln(price_it)*ln(...
- 61
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1
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228
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Interpretation ARDL all variables in log
I was hoping someone could help me confirm or correct me on my interpretation of my estimated coefficients of ARDL model.
All my variables are converted into natural log form, ln, both Y and Xs.
My ...
- 25
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33
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Interprete log(y) changes in regression
I oriented at this explanation of interpreting statistical outcomes:
http://www.princeton.edu/~otorres/Stata/
ln(Y)=B0 + B1*X + u ~ A change in X by one unit (∆X=1) is associated with a (exp(B1) - 1)*...
- 41
1
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1
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1k
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Interpretation of log-linear regression
The regression is
$$\ln y = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + \varepsilon$$
I know there is an approximation, but what about the exact interpretation of $\beta_1$ in non-log terms of $y$?
This ...
- 363
2
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1
answer
128
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Log-log linear model interpretation, when does the approximation not hold?
I read in the following post: Interpreting Log-Transformed Percentages in OLS that
In a log-log model, such as $\log(y) = b_0 + b_1 \log(x)$, I know that
with OLS the standard interpretation is a &...
- 4,448
15
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3
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4k
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Interpreting log-log regression with log(1+x) as independent variable
Is interpreting log-log regression with log(1+x) as independent variable the same as having log(x) as independent variable? 1% increase in x results in beta% change in y?
What is x has both negative ...
- 151
3
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1
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Interpreting Impulse Response Function after first differences of logarithm transformation
I created an impulse response function from a VAR model. I used data transformed by taking the first difference of logarithms. I am now in trouble with giving a substantive interpretation of the scale ...
- 145
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280
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Can we compare coefficients from log-log and log-linear regression?
We have two regressions
$$
ln(Y) = \alpha_1 + \beta_1 ln(X) + \epsilon \tag{1}\label{1}
$$
and
$$
ln(Y) = \alpha_2 + \beta_2 X + \epsilon \tag{2}\label{2}
$$
In the first case, a 1% increase in $X$ ...
- 363
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2
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151
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log log interpretation with independent count variable [duplicate]
Would anyone know how I could interpret the log-log regression with age below?
ln (Income) = const + 0.30 ln(Age) + ut
I don't understand how it is possible to say that if age increases by 1%, income ...
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