Re: [R] simple linear regression with proportion data
-Original Message- Can I use simple linear regression when I have proportion data for both dependent and independent variables? Or, should I use beta regression analysis? Or any suggestion? The distribution of the independent variable is irrelevant (in some circumstances it matters whether it is measured without error or not). Agreed that if you just want a line that goes somewhere near the data you can do pretty much anything. But don't those circumstances you referred to include 'any time you want an unbiased estimate of the slope or a reliable standard error on coefficients'? S *** This email and any attachments are confidential. Any use...{{dropped:8}} __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] simple linear regression with proportion data
On 12-11-19 10:18 AM, S Ellison wrote: -Original Message- Can I use simple linear regression when I have proportion data for both dependent and independent variables? Or, should I use beta regression analysis? Or any suggestion? The distribution of the independent variable is irrelevant (in some circumstances it matters whether it is measured without error or not). Agreed that if you just want a line that goes somewhere near the data you can do pretty much anything. But don't those circumstances you referred to include 'any time you want an unbiased estimate of the slope or a reliable standard error on coefficients'? Did you see that I wrote distribution of the **independent** variable above? Ben __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] simple linear regression with proportion data
Dear list: Can I use simple linear regression when I have proportion data for both dependent and independent variables? Or, should I use beta regression analysis? Or any suggestion? Thanks! SH __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] simple linear regression with proportion data
SH emptican at gmail.com writes: Dear list: Can I use simple linear regression when I have proportion data for both dependent and independent variables? Or, should I use beta regression analysis? Or any suggestion? The distribution of the independent variable is irrelevant (in some circumstances it matters whether it is measured without error or not). Depending on what you want to do, and how close the proportion data come to 0 or 1, you might choose to use linear regression, or linear regression on arcsine-square-root transformed data, or beta regression. It really depends what you want to do with the answers and what your audience expects. You might try this on http://stats.stackexchange.com with a bit more context. Ben Bolker __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] simple linear regression with proportion data
Very useful comment and helpful website! Many thanks to you!!! SH On Fri, Nov 16, 2012 at 5:16 PM, Ben Bolker bbol...@gmail.com wrote: SH emptican at gmail.com writes: Dear list: Can I use simple linear regression when I have proportion data for both dependent and independent variables? Or, should I use beta regression analysis? Or any suggestion? The distribution of the independent variable is irrelevant (in some circumstances it matters whether it is measured without error or not). Depending on what you want to do, and how close the proportion data come to 0 or 1, you might choose to use linear regression, or linear regression on arcsine-square-root transformed data, or beta regression. It really depends what you want to do with the answers and what your audience expects. You might try this on http://stats.stackexchange.com with a bit more context. Ben Bolker __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.