[R] how to test this

[Prof Brian Ripley]

On Wed, 3 Aug 2005, Simon Blomberg wrote:

> This is two tests: Whether the slope != 1 and whether the intercept != 0.

Neither model given has an intercept ....

> To do this, include an offset in your model:
>
> fit  <- lm(y ~ x + offset(x), data=dat)

but no intercept, so use

summary(lm(y ~ 0 + x + offset(1.05*x), data=dat))

and look if the coefficient of x is significantly different from zero.

E.g.

x <- 1:10
set.seed(1)
y <- 1.05*x + rnorm(10)
summary(lm(y ~ 0 + x + offset(1.05*x)))

Coefficients:
   Estimate Std. Error t value Pr(>|t|)
x  0.03061    0.03910   0.783    0.454

is not.


>
> HTH,
>
> Simon.
>
>
> At 03:44 PM 3/08/2005, Jin.Li at csiro.au wrote:
>>
>> I am wondering how to test whether a simple linear regression model
>> (e.g. y=1.05x) is significantly different from a 1 to 1 line (i.e. y=x).


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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