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Home > Statistical Methods calculators > Find Regression line equations making use of suppose, standard deviation and also correlation calculator |
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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 |
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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-X | 2 - 4 | 4 - 6 | 6 - 8 | 8 - 10 |
Y | 3 | 4 | 2 | 1 |
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 | 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 |
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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