linear fit with fitlm or regress
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Hi
I have a data set of three variables. I want to use the equation y = a + b*temp + c*temp* sigma. When i write this like y~temp+(sigma*temp) in fitlm, I get 4 terms, Intercept, temp, sigma and temp:sigma.
My question is if sigma is the slope c and temp:sigma is temp*sigma for the c? I think this is correct, but I have not been able to figure out how the equation would look like based on the input arguments. The displayed "Linear regression model" is y ~1 + t*sigma
Thanks a lot!
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Jeff Miller
2019-5-14
Your three variables are y, temp, and sigma? If I understand the model you want to fit, you might get a cleaner picture if you form a new variable:
prod = temp.*sigma;
and then use
y~temp+prod
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Jeff Miller
2019-5-14
Sorry, I just don't understand what model you are trying to fit. You say you are trying to get
y = (a0+b0*T) + (c0*sigma+d0*T)
but that does not look like a legitimate model to me as I said before.
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