The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.)
Regression equation is-
When X gives 6 this gives-
x | 3 | 5 | 3 | 6 | 7 |
y | 3 | 6 | 5 | 7 | 7 |
Line of Regression Y on X i.e Y = bo + b1 X | ||||
X | Y | (Xi - Mean)^2 | (Yi - Mean)^2 | (Xi-Mean)*(Yi-Mean) |
3 | 3 | 3.24 | 6.76 | 4.68 |
5 | 6 | 0.04 | 0.16 | 0.08 |
3 | 5 | 3.24 | 0.36 | 1.08 |
6 | 7 | 1.44 | 1.96 | 1.68 |
7 | 7 | 4.84 | 1.96 | 3.08 |
calculation procedure for regression
mean of X = ∑ X / n = 4.8
mean of Y = ∑ Y / n = 5.6
∑ (Xi - Mean)^2 = 12.8
∑ (Yi - Mean)^2 = 11.2
∑ (Xi-Mean)*(Yi-Mean) = 10.6
b1 = ∑ (Xi-Mean)*(Yi-Mean) / ∑ (Xi - Mean)^2
= 10.6 / 12.8
= 0.83
bo = ∑ Y / n - b1 * ∑ X / n
bo = 5.6 - 0.83*4.8 = 1.63
value of regression equation is, Y = bo + b1 X
Y'=1.63+0.83* X
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