All Questions
Tagged with logarithm regression-coefficients
42
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Interpreting log transformed variables in a regression [duplicate]
I am very confused about the interpretation of log transformed variables in a regression. For example, I have a log-level model with a B0=4.95 and B1=-1.07. So my model would be log(y)=4.95 - 1.07X. ...
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1
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59
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Detrending and data transformation to logarithm can be done together?
I want to get the effect of bitcoin price changes on foreign currency price. The third variable is inflation, which is an explanatory variable.
Should variables be detrended before regressing? Is it ...
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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
vote
1
answer
552
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Interpretation of the coefficient of a dummy variable in a regression with log-transformed outcome
I want to interpret the models (2) Pool variable. It equals 1 if the house has a pool and 0 if not. The relation between the dependent variable and the Pool variable is a log-linear that means ∆y/y = ...
0
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1
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90
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Log-log regression with log(1+x) and log(1+y)
I just read a paper where they used a log-log regression with log(1+x) as one of the independent variables and log(1+y) being the dependent variable.
The only inference from this regression in the ...
3
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1
answer
128
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Dummy variables in regression with log-transformed continous variables
I have a question dealing with logarithmic variables, log-sum and dummy variables in a multiple regression.
First of all I’ve never worked with log-sums before.
I have a model with y that is log-...
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 ...
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1
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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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2
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872
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Interpret coefficient in log$_{10}$-linear model
I have a doubt. I had to normalize the errors transforming the dependent variable into $\log_{10},$ so I have an equation of this form:
$$\log y = 2.49 - 0.0006X_1 + 0.0328X_2;$$
also the variable $...
2
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0
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809
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How to derive sales contribution in a log-log regression media mix model?
I am working on a media mix model to determine how different media channels impact sales.
Since there is a non-linear relationship between sales and media spend, I needed to apply a log transformation ...
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153
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How does the slope change when I add a constant to the logarithm in a linear regression?
I have a regression as follows:
ln(y + 5) = A + B*ln(x + 5)
The addition of the number 5 in both logarithms is done simply because there are negative numbers in both variables, but I would like to ...
1
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25
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Transform regression model with all logged terms to 'unlogged' form [duplicate]
I have two independent variables to predict my independent variable. For both theoretical and practical reasons, it made sense to log all of the three variables. In R formula:
...
1
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0
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65
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The interpretation of the economic significance in log-level models
Hi I have searched for many articles but still confused about the interpretation of the economic significance. Here is the result
Ln(number of Employees)= -2.37 X
Std of X= 0.09
How should I interpret ...
0
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172
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How would you get absolute values from a multivariate log-log model?
I have a log-log model that looks something like this:
$$
\ln (sales) = 8.15 + 0.0516\times \ln(digital) + 0.74\times \ln(tv)
$$
I understand I can interpret the variables in terms of percentage ...
2
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1
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4k
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Interpreting coefficients in log-log model with dummy for elasticity
I'm running an analysis of two products, X and Y, and I'm particularly interested in understanding the elasticities. However, I'm struggling to interpret the results.
I'm using a log-log model, and in ...