How can I spot if, say, a simple, linear regression will adequately describe some causal relationship purely from the model's output (say, from the command summary(lm( y ~x )) in R), as opposed to from looking at QQ plots or residual plots? Is it possible? Perhaps something to do with the estimated variance?