I've attached below the output of a program I am running. What I want to do is, get the equation for each of the lines and determine what the overall equation is that is applicable to every scenario (I know that each line is of multiple of the proceeding line; as in the bottom's coefficient is 1x, next up is 2x, 3x, 4x and so on such that the only difference from line to line is the slope coefficient.)
One dilemma is, each point is actually a mean value (shown by the red error bars). I'm assuming a gaussian distribution for each point with equal variance so I believe I can just take the linear regression of the mean values. And as this is not a continuous line, does that make a difference when I do the regression? http://www.nabble.com/file/p19761963/bridgers.jpg bridgers.jpg -- View this message in context: http://www.nabble.com/Linear-Regression-in-R-tp19761963p19761963.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
