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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-X20 - 2525 - 3030 - 3535 - 4040 - 4545 - 50
Y11017080454035
Class-X110 - 111111 - 112112 - 113113 - 114114 - 115115 - 116116 - 117117 - 118118 - 119
Y6006406406807007808309001000
X01234
Y151063
X346710
Y911141516
X1001011021021009997989695
Y98999997959295949091
X23272829303133353639
Y18222324252628293032
X300350400450500550600650700
Y8009001000110012001300140015001600
X1011121314
Y31218123

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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