A smal fitting problem...
If you really want to fit a horizontal line then the best estimate (meaning least squares) for b is mean(y), regardless of the actual x values, which becomes clear if you look at your design matrix / regressor matrix . In general least squares regression could be done with lsfit(). In your case the design matrix (X matrix) is a simple vector of ones. K?re Edvardsen schrieb:
Dear R-helpers, I'm for sure not familiar with R, but it seem like a nice sofware tool, so I've decided to try using it. Here is my problem I just can't figure out: I'd like to do least square fit of a straight horizontal (a = 0) line y = ax + b through some data points x = (3,4,5,6,7,8) y = (0.62, 0.99, 0.83, 0.69, 0.76, 0.82) How would i find b????? All the best, Ked [[alternative HTML version deleted]]
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