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4. Find Regression line equations from `sum x, sum y, sum x^2, sum y^2, sum xy, n` example ( Enter your problem )
  1. Example-1
  2. Example-2
Other related methods
  1. Find the equation of two regression lines, also estimate
  2. Find Correlation Coefficient from two Regression line equations
  3. Find Regression line equations using mean, standard deviation and correlation
  4. Find Regression line equations from `sum x, sum y, sum x^2, sum y^2, sum xy, n`

3. Find Regression line equations using mean, standard deviation and correlation
(Previous method)
2. Example-2
(Next example)

1. Example-1





4. Find Regression line equations from ∑x = 130, ∑y = 220, ∑x2 = 2288, ∑y2 = 8822, ∑xy = 3467, n = 10

Solution:
Mean `bar x = (sum x)/n`

`=130/10`

`=13`


Mean `bar y = (sum y)/n`

`=220/10`

`=22`


`byx = (n * sum xy - sum x * sum y)/(n * sum x^2 - (sum x)^2)`

`=(10 * 3467 - 130 * 220 )/(10 * 2288 - (130)^2)`

`=(34670 - 28600 )/(22880 - 16900)`

`=6070/5980`

`=1.02`


Regression Line y on x
`y - bar y = byx (x - bar x)`

`y - 22 = 1.02 (x - 13)`

`y - 22 = 1.02 x - 13.2`

`y = 1.02 x - 13.2 + 22`

`y = 1.02 x + 8.8`


`bxy = (n * sum xy - sum x * sum y)/(n * sum y^2 - (sum y)^2)`

`=(10 * 3467 - 130 * 220 )/(10 * 8822 - (220)^2)`

`=(34670 - 28600 )/(88220 - 48400)`

`=6070/39820`

`=0.15`


Regression Line x on y
`x - bar x = bxy (y - bar y)`

`x - 13 = 0.15 (y - 22)`

`x - 13 = 0.15 y - 3.35`

`x = 0.15 y - 3.35 + 13`

`x = 0.15 y + 9.65`


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3. Find Regression line equations using mean, standard deviation and correlation
(Previous method)
2. Example-2
(Next example)





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