[R] negative log likelihood

[mat7770]

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. 
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