| X | Y | XY | X² | Y² | |
| total sum | 24 | 310.50 | 896.25 | 70.50 | 11468.75 |
| mean | 2.6667 | 34.5000 |
sample size , n = 9
here, x̅ = 2.6667 ȳ
= 34.5
SSxx = Σx² - (Σx)²/n = 6.5
SSxy= Σxy - (Σx*Σy)/n = 68.25
SSyy = Σy²-(Σy)²/n = 756.5
SSE= (Sx*Sy - S²xy)/Sx = 39.88
std error ,Se = √(SSE/(n-2)) =
2.3867
X Value 3
Confidence Level 95%
Sample Size , n= 9
Degrees of Freedom,df=n-2 = 7
critical t Value = 2.365
X̅ = 2.667
Σ(x-x̅)² =Sxx = 6.5
margin of error,E=t*Se*√(1/n+(X-X̅)^2/Sxx) = 2.365*2.3867 * √(1/9 + (3-2.667)²/6.5) = 2.0208
Predicted Y (YHat) =6.5000 + 10.5000 *3= 38
so, confidence interval is
Confidence Lower Limit=Ŷ -E = 38 - 2.0208 = 35.979
Confidence Upper Limit=Ŷ +E = 38 + 2.0208 = 40.021
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