# Questions tagged [regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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### How to check if parameters from non-linear curve fits on two datasets are statistically significant?

I have two datasets. They measure a physical response Y (in a certain sample) with increasing concentrations (X) of a certain molecule (dose response). I fit my datasets to a model known as one site ...
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### Can I regress overlapping independent variables?

give cash coupon give non-cash coupon Brand B Item A Item B Non-Brand B Item C Item D give cash coupon ratio= (item A Sales volume + item C Sales volume)/ total sales Brand B sales ratio = (item A ...
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### Is there any valid way to compare two lmer models based on two differnt datasets?

I am a Master's student and currently analyzing a 2 datasets with reading times as dependent variables. For the first dataset, I used a blocked presentation of the linguistic and visual stimuli, while ...
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### Very high information value - what does it mean?

Hey I used iv function from scorecard package to calculate Information Value of my independent variables. What suprised me is ...
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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 ...
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### If ε or error rate is normally distributed $N(0, σ^2 )$, why is y also $Y ∼ N(µ, σ^2 )$?

I have the following notes which describe a basic height model: If Y has some distribution with mean µ and variance $σ^2$: E(Y) = µ, Var(Y) = $σ^2$ then this can be written: Y = µ + ε i.e. Data = ...
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### Is a time trend a substitute for first differencing?

I am doing a macroeconomic analysis involving BOP, investment ratio, GDP growth rates, and CPI inflation as dependent variables. My independent variables are other macro variables. When I test for ...
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### Do I accept or reject the null hypothesis?

M1 : Y ∼ β0 + β1x1 + β2x2 M2 : Y ∼ β0 + β1x1 anova(M1,M2) shows a p-value of 0.0001, so we prefer M1 at significance level 0.05. Would that be correct? I thought that if .0001<.05, I should reject ...
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### What type of regression/predictive modelling should I do? ( more like should i learn to approach)

I have a score based outcome column that is based on other variables. For example: MatchStatus1 MatchStatus2 Score 50 50 35 Above is just a simplified version of the datasets where the score was ...
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### data transformation for regression

I'm trying to perform LASSO regression on a dataset, and the following 2 photos show the histograms of 8 attributes. I'd like to transform them in some way to improve the model. Data transformation is ...
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### Linear Regression in Python using gradient descent

(cross-posted from data-science StackExchange)(someone recommended that this community is more appropriate for my problem) I am trying to implement a simple multivariate linear regression model ...
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### estimation method in GAM model

I created a GAM model with semiparametric with parametric and nonparametric covariates. In the parametric regression model there is an estimation method to determine the value of the beta coefficient. ...
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### Backsolve error with summary.rq on heteroscedastic data

Hello I am having some troubles in R when I try to make a summary of a quantile regression with my data. When I try this: ...