OK, now we're getting somewhere! I ran these numbers and the results of 2006 U.S. Nationals through my calculator. Here is the formula for the "least squares regression line." That is, this formula predicts a skater's score at nationals from her scores in the Grand Prix or Junior Grand Prix events.
SCORE AT NATIONALS = 43.35 + .82 x AVERAGE GP SCORES.
The "coefficient of correlation" was r = .81, with r squared = .66. That is, 66% of the variation in scores among all skaters at nationals was correlated with GP scores. 34% is due to "other random factors."
Applying this formula to the skaters who did the grand prix this year and will also be at nationals, here is my prediction for 2007 nationals:
Meissner 186.07
Hughes 165.72
Czisny 164.43
Liang 160.51
Oster 154.65
Williams-Stewart 154.44
Kahle 150.13
Bulanhagui 147.38
Zukowski 146.48
Hyatt 144.63
Canarozzo 144.44
Applying the same formula to Rachael Flatt's score at Sectionals:
Flatt 173.95
So there you go. You can take that to the bank!