I have two related variables, each with 16 points (x and Y). I am given variance and the y-intercept. I know how to create a regression line and find the residuals, but here is my problem. I have to make a loop that uses the seq() function, so that it changes the slope value of the y=mx + B equation ranging from 0-5 in increments of 0.01. The loop also needs to calculate the negative log likelihood at each slope value and determine the lowest one. I know that R can compute the best regression line by using lm(y~x), but I need to see if that value matches the loop functions. -- View this message in context: http://old.nabble.com/negative-log-likelihood-tp26256881p26256881.html Sent from the R help mailing list archive at Nabble.com.
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