Y	X
	18,6	180	-3,003703704	6,481481481	-19,46844993	42,009602
	28,1	180	6,496296296	6,481481481	42,10562414	42,009602
	25,1	160	3,496296296	-13,5185185	-47,26474623	182,75034
	21,6	180	-0,003703704	6,481481481	-0,024005487	42,009602
	28,4	210	6,796296296	36,48148148	247,9389575	1330,8985
	20,8	140	-0,803703704	-33,5185185	26,93895748	1123,4911
	23,2	180	1,596296296	6,481481481	10,34636488	42,009602
	15,9	160	-5,703703704	-13,5185185	77,10562414	182,75034
	16,4	160	-5,203703704	-13,5185185	70,34636488	182,75034
	18,2	150	-3,403703704	-23,5185185	80,05006859	553,12071
	17,9	160	-3,703703704	-13,5185185	50,06858711	182,75034
	21,8	170	0,196296296	-3,51851852	-0,690672154	12,379973
	16,1	130	-5,503703704	-43,5185185	239,5130316	1893,8615
	21,5	180	-0,103703704	6,481481481	-0,672153635	42,009602
	24,5	160	2,896296296	-13,5185185	-39,15363512	182,75034
	23,7	210	2,096296296	36,48148148	76,47599451	1330,8985
	21,9	170	0,296296296	-3,51851852	-1,042524005	12,379973
	18,6	165	-3,003703704	-8,51851852	25,58710562	72,565158
	27	170	5,396296296	-3,51851852	-18,98696845	12,379973
	18,9	140	-2,703703704	-33,5185185	90,62414266	1123,4911
	16,7	130	-4,903703704	-43,5185185	213,4019204	1893,8615
	18,5	200	-3,103703704	26,48148148	-82,19067215	701,26886
	19,4	180	-2,203703704	6,481481481	-14,28326475	42,009602
	24	190	2,396296296	16,48148148	39,49451303	271,63923
	26,8	230	5,196296296	56,48148148	293,494513	3190,1578
	28,7	240	7,096296296	66,48148148	471,7722908	4419,7874
	21	160	-0,603703704	-13,5185185	8,161179698	182,75034
rerata	21,6037	173,5185
SD	3,96334	27,23879
jumlah					1839,648148	19290,741
nilai β₁	0,095364
nilai β₀	5,05623
maka persamaan regresi garis lurus adalah

	Y	X
	18,6	150	-3,0037037	7,962962963	-23,91838134	63,408779
	28,1	150	6,4962963	7,962962963	51,7297668	63,408779
	25,1	120	3,4962963	-22,03703704	-77,04801097	485,631
	21,6	150	-0,0037037	7,962962963	-0,029492455	63,408779
	28,4	190	6,7962963	47,96296296	325,9705075	2300,4458
	20,8	110	-0,8037037	-32,03703704	25,74828532	1026,3717
	23,2	150	1,5962963	7,962962963	12,71124829	63,408779
	15,9	130	-5,7037037	-12,03703704	68,65569273	144,89026
	16,4	130	-5,2037037	-12,03703704	62,63717421	144,89026
	18,2	120	-3,4037037	-22,03703704	75,00754458	485,631
	17,9	130	-3,7037037	-12,03703704	44,58161866	144,89026
	21,8	140	0,1962963	-2,037037037	-0,399862826	4,1495199
	16,1	100	-5,5037037	-42,03703704	231,3593964	1767,1125
	21,5	150	-0,1037037	7,962962963	-0,825788752	63,408779
	24,5	130	2,8962963	-12,03703704	-34,86282579	144,89026
	23,7	180	2,0962963	37,96296296	79,58161866	1441,1866
	21,9	140	0,2962963	-2,037037037	-0,603566529	4,1495199
	18,6	135	-3,0037037	-7,037037037	21,13717421	49,51989
	27	140	5,3962963	-2,037037037	-10,99245542	4,1495199
	18,9	100	-2,7037037	-42,03703704	113,6556927	1767,1125
	16,7	100	-4,9037037	-42,03703704	206,1371742	1767,1125
	18,5	170	-3,1037037	27,96296296	-86,78875171	781,9273
	19,4	150	-2,2037037	7,962962963	-17,54801097	63,408779
	24	160	2,3962963	17,96296296	43,04458162	322,66804
	26,8	200	5,1962963	57,96296296	301,1927298	3359,7051
	28,7	190	7,0962963	47,96296296	340,3593964	2300,4458
	21	120	-0,6037037	-22,03703704	13,30384088	485,631
rerata	21,6037	142,037
SD	3,96334	27,25447
jumlah					1763,796296	19312,963
nilai β₁	0,091327069
nilai β₀	8,631877457
maka persamaan regresi garis lurus adalah