A)
there appears to be POSITIVE association beween two variables
...............
ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
total sum | 32.64 | 32.40 | 2.35 | 0.91 | 1.38 |
mean | 3.26 | 3.24 | SSxx | SSyy | SSxy |
Sample size, n = 10
here, x̅ = Σx / n= 3.264
ȳ = Σy/n = 3.240
SSxx = Σ(x-x̅)² = 2.3462
SSxy= Σ(x-x̅)(y-ȳ) = 1.4
estimated slope , m = SSxy/SSxx =
1.3784/2.3462= 0.587
intercept,ß = y̅-ß1* x̄ = 3.24-
(0.5875 )*3.264= 1.322
Regression line is, Ŷ= 1.322 + (
0.587 )*x
correlation coefficient , r = SSxy/√(SSx.SSy)
= 0.941
hence there is positive relationship
R² = (SSxy)²/(SSx.SSy) = 0.885
............
Predicted Y at X= 3.15 is
Ŷ= 1.32242 +
0.58749 *3.15= 3.17
.................
3.16 = 1.32242 + 0.58749 *x
x =(3.16-1.322)/0.587
=3.13
.................
Please let me know in case of any doubt.
Thanks in advance!
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