Hi Not being a trained statistician regression with slope = 0 seems odd to me.
If you do > fit<-lm(d~t) > summary(fit) Call: lm(formula = d ~ t) Residuals: 1 2 3 4 5 6 0.04762 -1.43810 0.07619 1.59048 2.10476 -2.38095 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 302.4667 1.7849 169.45 7.28e-09 *** t 0.4857 0.4583 1.06 0.349 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 1.917 on 4 degrees of freedom Multiple R-Squared: 0.2192, Adjusted R-squared: 0.02402 F-statistic: 1.123 on 1 and 4 DF, p-value: 0.349 you will get estimate of your coeficients and AFAIK they are tested against Ho that they differ from 0. So as you see your "t" is not statistically different from 0. Regards Petr [EMAIL PROTECTED] napsal dne 14.08.2007 13:36:37: > > Hi there, am trying to run a linear regression with a slope of 0. > > I have a dataset as follows > > t d > 1 303 > 2 302 > 3 304 > 4 306 > 5 307 > 6 303 > > I would like to test the significance that these points would lie on a > horizontal straight line. > > The standard regression lm(d~t) doesn't seem to allow the slope to be set. > > Any help very welcome. > > ed > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.