finding slope/intercept/std.deviation of replicates
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how do i find the slope and intercept of replicates? so for each x-value i have, there would be more than 1 y-value (e.g. 6 y value for each x value)
how would i go about finding the slope and intercept of this? i am not allowed to just average out the y-values for each x-value. they call these replicates. Thanks!
1 个评论
Sean de Wolski
2012-1-27
So robust estimation? Why can't you just average them?
回答(1 个)
Tom Lane
2012-1-28
You can just include the x value once for each y value. If you're just talking about least squares coefficient estimation (no standard errors or the like), this will give the same answer as averaging out the y values.
>> x = [1 1 1 5 5 5 5]';
>> y = [1 2 3 10 15 20 25]';
>> p = polyfit(x,y,1)
p =
3.8750 -1.8750
>> polyfit([1 5]',[2 17.5]',1)
ans =
3.8750 -1.8750
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