18 авг. 2014 г. · The answer to the question, "Is linear regression valid when the outcome (dependant variable) not normally distributed?" is "Yes."

25 апр. 2023 г. · No, in linear regression, the dependent variable does not have to be normally distributed. However, one of the assumptions of linear regression is that the ...

9 мар. 2022 г. · Linear regression does not assume normal distribution for the dependent variable, but conditional normality. See the linked thread. – Tim. How do I perform a regression on non-normal data which ... Regression on a non-normal dependent variable? [duplicate] Другие результаты с сайта stats.stackexchange.com

3 мар. 2020 г. · So, if you see that a variable is not distributed normally, don't be upset and go ahead: it is absolutely useless trying to normalize ...

When a dependent variable is not distributed normally, linear regression remains a statistically sound technique in studies of large sample sizes.

6 февр. 2018 г. · If they are not, you might use robust linear regression such as the rlm function in R. If we do not have a normal distribution, how can we run ... - Quora Can I perform a multiple regression on non-normal data? - Quora Does linear regression require normal distribution? - Quora Is it necessary for an independent variable to be normally ... Другие результаты с сайта www.quora.com

15 апр. 2017 г. · I am looking to create a multivariable linear regression model, where my dependent variable is a summed score of depression symptoms.

9 авг. 2021 г. · I want to do multiple regression using the dependent variable "posn_neg_5" using a mixture of continuous and binary independent variables.

17 мая 2024 г. · Linear regression makes no assumptions about the distribution of the predictors. So no need to transform anything based on that. I've never done ...

14 сент. 2015 г. · No, you don't have to transform your observed variables just because they don't follow a normal distribution. Linear regression analysis, which ...