issue here stems from the one discussed in a previous post of mine (http://talkstats.com/showthread.php?t=13844).

I have a dataset comprising 8 object, on which measurements where taken (cm). I am seeking to verify if a linear relation is likely to exist between the two variables. The sample is admittedly small.

I get an r value of 0,96, and p=0,001. So far so good (?). But the inspection of the standardized residual plot suggests that non-linearity could be present (if I get it right what the scatterplot is actually suggesting).

May be the whole thing is weakened by the small sample analysed.

Unfortunately, these data are all that I have at hand.

So, the question is:

1) the discrepancy between the r value and the non-linearity (?) (as revealed by the scatterplot of the residuals) is due to the very limited amount of data?

2) is it correct to say that there is not sufficient evidence for devising a linear relation between the variables?

3) has the use of bootstrapped r any sense in this context?

Thanks for any help provided,

Gm