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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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