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Home > Statistical Methods calculators > Find Regression line equations from sum x, sum y, sum x^2, sum y^2, sum xy, n calculator
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Method and examples
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Method
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Find Regression line equations from ∑x, ∑y, ∑x2, ∑y2, ∑xy, n
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Decimal Place =
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Solution
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Solution provided by AtoZmath.com
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Find Regression line equations from ∑x, ∑y, ∑x2, ∑y2, ∑xy, n calculator
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Method-1 :
1. Find the equation of regression lines and estimate y for x = 1 and x for y =4.
X |
3 |
2 |
-1 |
6 |
4 |
-2 |
5 |
7 |
Y |
5 |
13 |
12 |
-1 |
2 |
20 |
0 |
-3 |
Method-2 :
1. The regression equation of two variables are 5y = 9x - 22 and 20x = 9y + 350
Find the means of x and y. Also find the value of r.
Method-3 :
1. The following information is obtained form the results of examination
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Marks in Stats |
Marks in Maths |
Average |
39.5 |
47.5 |
S.D. |
10.8 |
16.8 |
The correlation coefficient between x and y is 0.42. Obtain two regression lines and estimate y for x = 50 and x for y = 30.
Method-4 :
1. The following information is obtained for two variables x and y. Find the regression equations of y on x.
`sum XY` = 3467 |
`sum X` = 130 |
`sum X^2` = 2288 |
n = 10 |
`sum Y` = 220 |
`sum Y^2` = 8822 |
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Example4. 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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