# Questions tagged [regression]

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

18,205 questions
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### Logit Regression: change order, change results

I'm currently doing my thesis, and i'm having quite some trouble in running the logit regression in stata. If you can help me telling me whether what i'm doing makes sense would be appreciated. ...
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### Testing interaction terms individually and simultaneously

I am currently testing two interaction terms individually in OLS regressions. Both interaction terms are significant (p < .5) when tested individually (i.e., two regression equations, one for each ...
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### Regression and Standard Deviation

When I plot my Regression Line and the corresponding lines for 2 standard deviations, sometimes it happens, that no values lie outside the 2 standard deviations. Is that possible/correct or must there ...
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### Time period for difference-in-differences analysis

Please, help me with the following issue. I want to analyze effect of firm location on its stock preformance (measure monthly) during the crisis. For this I construct the following dummies: Crisis = 1 ...
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### R : Can i use discriminant analysis with 2 groups in the context of predictig the success of bank telemarketing?

I have a school project having us working on the dataset 'data-driven approach to predict the success of bank telemarketing' provided by Sérgio Moro. A bit of background about the dataset: it's ...
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### What is the regression equation for this model I have built on Stata?

I know this is an easy question but I'm trying to get the format for the regression equation for a country and year fixed effect model I have built on Stata. My code is as follows: ...
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### Do control variables in a regression analysis cause collinearity?

This is something that bothers me for quite some time, but I didn't find yet a satisfactory answer. I hope that the wisdom of the people hear will help me to clarify this: In a multivariate ...
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### Assumption if independence between X variable and error term in multiple linear regression

Im doing a multiple linear regression model and i have to check if the assumptions are satisfied. I am not sure how i can check if the assumptions of independency between the X variables and the ...
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### Holdout loss much worse than training & testing data

I am creating a simple MLP which is to predict a single output based and 9 inputs. The data is scaled between 0 and 1, and the data is shuffled before training. The resulting model leads to very low ...
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### Coefficients of correlation and determination, linear regression

The decision-maker has two advisers arguing with each other. The problem is the following. There is a disease the cause of which is unknown. Some external factors are believed to promote its ...
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### Self-calibrate sensor measurements with linear regression

I have measurements of 3 sensors (A, B, C) over variable W. Reproducible code. The sensors may be wrongly calibrated so before analysing the data I correct the values for each sensor. The correction ...
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### Why does LASSO ignore a predictor that has predicting power and NOT correlated with other predictors?

I have a linear regression problem for my car fleet data, where $y$ is the change in rental price and $X$ is a design matrix with around 30 columns (predictors). Most of the predictors are continuous ...
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### conditional and interventional expectation

Conditional expectation $E[Y|X]$ and interventional expectation $E[Y|do(X)]$ are related but conceptually very different things. I know that if $X$ is a randomly assigned by an experiment, we have ...
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### Direction of bias when changing from OLS to IV

If when using an instrumental variable it increases the size of the coefficient and changes the direction of the relationship compared to OLS --> what direction of bias does it suggest in the OLS ...
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### what's the use of lag? when using it do I have to lag my dependent variable or is it only the independent variable?

I am confused about the usage of lags. I have a problem on multicollinearity and someone propose that I should use lag or conduct a first difference on my model. ***My method of estimation is a ...