6.6.2)Note: 6.6.2 uses data from 6.5.2. In this data set there is a time variable (year) and three other variables that depend on time. For Part (a) of 6.6.2 create matrix of scatter plots for these three other than time variables. Part (b) asks you to discuss their relationships. Create correlation matrix for this purpose of the three variables other than the time variable and verify correlation coefficient value between petroleum imports and percent of petroleum products by doing hand calculations.

Questions to answer:

For Part (a) Create below a matrix of scatter plots for these three variable other than the time variable using MINITAB.

Part (b) Create correlation matrix below of the three variables other than the time variable using MINITAB.

c) Verify correlation coefficient value between petroleum imports and percent of petroleum products by doing hand calculations below.

year	Petroluem Imports	Percent of Petroluem Products	Petroluem Imports from Persian Gulf
1973	6256	36.1	13.5
1974	6112	36.7	17.0
1975	6056	37.1	19.2
1976	7313	41.8	25.1
1977	8807	47.7	27.8
1978	8363	44.3	26.5
1979	8456	45.6	24.4
1980	6909	40.5	21.9
1981	5996	37.3	20.3
1982	5113	33.4	13.6
1983	5051	33.1	8.7
1984	5437	34.5	9.3
1985	5067	32.2	6.1
1986	6224	38.2	14.6
1987	6678	40.0	16.1
1988	7402	42.8	20.8
1989	8061	46.5	23.0
1990	8018	47.1	24.5
1991	7627	45.6	24.1
1992	7888	46.3	22.5
1993	8620	50.0	20.6
1994	8996	50.7	19.2
1995	8835	49.8	17.8
1996	9478	51.7	16.9
1997	10162	54.5	17.2
1998	10708	56.6	19.9
1999	10852	55.5	22.7
2000	11459	58.1	21.7
2001	11871	60.4	23.2
2002	11530	58.3	19.6
2003	12264	61.2	20.3
2004	13145	63.4	18.9
2005	13714	65.9	17.0
2006	13707	66.3	16.1
2007	13468	65.1	16.1
2008	12915	66.2	18.4
2009	11691	62.3	14.4
2010	11793	61.5	14.5
2011	11436	60.6	16.3
2012	10627	57.3	20.3
2013	9859	52	20.4
2014	9241	48.4	20.3
2015	9449	48.4	15.9