Please create a new answer outside of already existing. If copying from another place, I would have to give thumbs down.

[answerhappygod]

Please create a new answer outside of already existing. If
copying from another place, I would have to give thumbs down.
In a National Football League (NFL) regular season, each team
plays 16 games. Let “team wins” be the number of regular season
wins by a team in a particular season (taking a tie as half a win.)
Since on average teams win half their games, the distribution of
team wins has mean 8.
Assume the distribution of team wins stays about the same from
year to year. There is a positive correlation between a team’s wins
one year and their wins the next (r = 0.327.) Because of this, we
can use regression to predict a team’s win one year by using their
wins the previous year.
Question:
A cable sports analyst who does not know statistics suggests a
different prediction system -simply predict a team will win as many
games one year as they did the previous year. Explain convincingly
to the analyst why in the long run, this prediction system will not
be as accurate as a regression line. (Note: This will be graded
fairly strictly.)