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1 vote
1 answer
58 views

Calculating error metrics on log10(y) bayesian ridge regression model. Why does model perform better when trained on log10(y)?

I am using scikit learn's Bayesian ridge regression model and am training my model on log10(y), exponentiating (10 ** y_i) my predictions back to their original value, then calculating my error ...
lambdaChops's user avatar
3 votes
1 answer
175 views

E(log(x)) to E(x) [duplicate]

Sorry if this is a straightforward question, but I have tried digging into econometrics book and cannot find anything about it. I worked on a model with ...
notest's user avatar
  • 41
0 votes
1 answer
477 views

why does log scale does not start at 0

I need help in understanding the curve shown in the image. As you can see in the image that I-V curves in (a) is for linear scale and it shows 0 Amps at 0 Volts. But for logarithm scale I-V curves in (...
dnalectronics's user avatar
1 vote
0 answers
280 views

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 $X$ ...
Papayapap's user avatar
  • 363
0 votes
1 answer
49 views

Interpreting log multiple linear regression, backtransformations?

I'm investigating adherence to a special diet (that is scored from 0-18) in relation to C-reactive protein level and am in the process of building multiple linear regression models: To achieve a ...
Murphy's user avatar
  • 1
1 vote
2 answers
425 views

Why is $Y=\beta_0 x^{\beta_1} e$ a linear model?

Why is $Y=\beta_0 x^{\beta_1} e$ a linear model? When we apply the transform, it becomes $lnY = ln\beta_0+\beta_1 lnx +lne$, and why is it still linear when the $\beta_0$ part is under ln?
user2793618's user avatar
1 vote
0 answers
233 views

How can my confidence interval and p-value not be in line with each other in a linear difference-in-difference analysis in R?

I'm performing a linear difference-in-difference analysis with mental health care costs, log transformed (log10), as outcome measurement. Individuals are placed in a treatment or control group, and I ...
Joella's user avatar
  • 11
3 votes
0 answers
184 views

log transform in linear regression

Assume we have a data set and the theory suggests to model $Y \sim X$. We apply a simple linear regression and get the following: Next, let us make a log transform of both $X$ and $Y$. The result is ...
ABK's user avatar
  • 676
5 votes
1 answer
8k views

Need help understanding what a natural log transformation is actually doing and why specific transformations are required for linear regression [duplicate]

I’m taking an online “Intro to AI” course for which I’m doing some azure machine learning labs. This course is largely about how to apply azure ML solutions and, while there is an “essential math for ...
redmondcoffehead's user avatar
1 vote
0 answers
32 views

Log results in linear regression

I am just starting working with regression in R. I used some variables and their logs as well in the same regression equation. Unexpectedly, the results show significance of both, variables and their ...
H R A's user avatar
  • 11
3 votes
1 answer
2k views

Linear regression - Can I log transform dependent variable and one of the independent ones and keep the rest not transformed? [duplicate]

I have model where my dependent variable is Total money spend and then I have independent variable Income and some other ...
Nowada's user avatar
  • 61
0 votes
1 answer
212 views

Converting relative effect to absolute effect in log model

I have the following model; log(daily sales) = intercept + B1*(event dummy) + error My response variable(daily sales) is basically a daily time series and 'event dummy' is an indicator variable ...
th-ahn's user avatar
  • 27
16 votes
1 answer
11k views

Correcting log-transformation bias in a linear model

I am using a log-transformation for my response variable in order to get a linear relationship between it and the explanatory variable. I have split my data to training set (70%) and evaluation set (...
reima's user avatar
  • 211
1 vote
1 answer
6k views

linear probability model interpretation

I have a question regarding the interpretation of a log independent variable in a linear-probability model. For example: I have $\log(GDP)$ as my independent variable and the coefficient is 0.35. Can ...
Julian's user avatar
  • 11
2 votes
1 answer
3k views

log transformation vs square root transformation, Can I do both? [duplicate]

I am analyzing ARIMA or multiple regression model. $Y= X_1 + X_2 + X_3 + X_4$ Can I have the log on Y and square root on X1 and square root on X2, at the same time? That is, $\log Y = \sqrt{X_1} + ...
caroline's user avatar

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