1. Same as #1, except your past data should use the past 10 years data for that week. For example, if you are predicting the first week of March, use the 1^st week of March from last year, 1^st week of March from 2 years ago, etc. (This assumes that seasonal effects dominate):
   1. the nave method
   2. the average method
   3. the drift method

For each method, show:

1. the data you used in numerical form,
2. the equation you used to calculate your 3 forecasts, and
3. a graph of the data and the forecast. The graph should be well-labeled and visually easy to read.

year Total Gross	% LY	Releases	Average	#1 Release

2022	$5,343,733,498	-	327	$16,341,692	Top Gun: Maverick
2021	$4,482,795,864	+112.1%	439	$10,211,380	Spider-Man: No Way Home
2020	$2,113,846,800	-81.4%	456	$4,635,628	Bad Boys for Life
2019	$11,363,360,031	-4.4%	910	$12,487,208	Avengers: Endgame
2018	$11,892,160,011	+7.4%	993	$11,975,991	Black Panther
2017	$11,075,387,520	-2.6%	854	$12,968,837	Star Wars: Episode VIII - The Last Jedi
2016	$11,375,225,455	+2%	855	$13,304,357	Finding Dory
2015	$11,148,852,953	+7.5%	845	$13,193,908	Jurassic World
2014	$10,368,861,849	-5.4%	849	$12,213,029	Guardians of the Galaxy
2013	$10,955,524,800	+1%	826	$13,263,347	Iron Man 3
2012	$10,843,641,372	+6.8%	807	$13,436,978	The Avengers