Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
I am trying to run a mixed-effects model that predicts F2_difference with the rest of the columns as predictors, …
r regression linear-regression lme4 mixed-modelsSimple question really! I am running lots of linear regressions of y~x and want to obtain the variance for …
r regression varianceI hope that this one is not going to be "ask-and-answer" question... here goes: (multi)collinearity refers to extremely high …
r statistics regressionSo I am currently trying to draw the confidence interval for a linear model. I found out I should use …
r regressionI ran a regression: CopierDataRegression <- lm(V1~V2, data=CopierData1) and my task was to obtain a 90% confidence …
r regression linear-regression prediction lmI have some data that I want to fit so I can make some estimations for the value of a …
python regression curve-fittingDoes anyone know how to display the regression equation in seaborn using sns.regplot or sns.jointplot? regplot doesn't seem …
python regression seabornIn an effort to help populate the R tag here, I am posting a few questions I have often received …
r regression interactionI am fitting a model to factor data and predicting. If the newdata in predict.lm() contains a single factor …
r regression linear-regression lmI know there is a small difference between $sigma and the concept of root mean squared error. So, i am …
r regression linear-regression lm