How To Find Lsrl With Mean And Standard Deviation

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Home > Statistical Methods calculators > Find Regression line equations making use of suppose, standard deviation and also correlation calculator Method and also examples Find Regression line equations utilizing expect, traditional deviation and correlation Method 1. Find the equation of two regression lines, likewise estimate 2. Find Correlation Coefficient from 2 Regression line equations 3. Find Regression line equations making use of mean, traditional deviation and also correlation 4. Find Regression line equations from ∑x, ∑y, ∑x2, ∑y2, ∑xy, n
Type your information in either horizontal or verical format,for seperator you have the right to usage "-" or "," or ";" or area or tabfor sample click random button
Auto Select methodMethod-1 : `byx = (n amount xy - (sum x)(amount y))/(n sum x^2 - (amount x)^2), bxy = (n amount xy - (sum x)(sum y))/(n amount y^2 - (sum y)^2)`Method-2 : `byx = (sum (x - bar x)(y - bar y))/(sum (x - bar x)^2), bxy = (sum (x - bar x)(y - bar y))/(sum (y - bar y)^2)`Or `byx = (n amount dx dy - (amount dx)(amount dy))/(n amount dx^2 - (sum dx)^2), bxy = (n amount dx dy - (amount dx)(amount dy))/(n amount dy^2 - (sum dy)^2)`
Class-X2 - 44 - 66 - 88 - 10Y3421

Class-X	20 - 25	25 - 30	30 - 35	35 - 40	40 - 45	45 - 50
Y	110	170	80	45	40	35

Class-X	110 - 111	111 - 112	112 - 113	113 - 114	114 - 115	115 - 116	116 - 117	117 - 118	118 - 119
Y	600	640	640	680	700	780	830	900	1000

X	0	1	2	3	4
Y	1	5	10	6	3

X	3	4	6	7	10
Y	9	11	14	15	16

X	100	101	102	102	100	99	97	98	96	95
Y	98	99	99	97	95	92	95	94	90	91

X	23	27	28	29	30	31	33	35	36	39
Y	18	22	23	24	25	26	28	29	30	32

X	300	350	400	450	500	550	600	650	700
Y	800	900	1000	1100	1200	1300	1400	1500	1600

X	10	11	12	13	14
Y	3	12	18	12	3

Find Correlation Coeffective from Regression 2 line equations x+2y-5=0, 2x+3y-8=0Find Correlation Coeffective from Regression 2 line equations x+y=2, 2x+3y=4
Find Regression line equations from `overlinex = 39.5, overliney = 47.5, 6x = 10.8, 6y = 15, r = 0.42`Find Regression line equations from `overlinex = 22, overliney = 21, 6x = 12, 6y = 10, r = -0.33`
Find Regression line equations from `sumx = 130, sumy=220,sumx^2 = 2288, sumy^2 = 8822, sumxy = 3467, n = 10`Find Regression line equations from `sumx = 100, sumy=200,sumx^2 = 2000, sumy^2 = 8000, sumxy = 3000, n = 10`


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