Consider the following set of ordered pairs shown below. Assuming that the regression equation is y with caret=1.601+0.788x and the SSE=5.15, construct a 90% confidence interval for x=5.
x |
55 |
00 |
44 |
33 |
44 |
11 |
|
---|---|---|---|---|---|---|---|
y |
66 |
22 |
66 |
44 |
33 |
22 |
Calculate the upper and lower limits of the confidence interval.
UCL |
= |
||
LCL |
= |
Sxx =Σ (Xi - X̅ )2 = 18.83333334
Syy = Σ( Yi - Y̅ )2 = 16.83333334
Sxy = Σ (Xi - X̅ ) * (Yi - Y̅) = 14.83333334
Estimated Error Variance (σ̂2) =
S2 = ( 16.8333 - 0.7876 * 14.8333 ) / 6 - 2
S = 1.1347
Confidence Interval of
Ŷ = 1.6018 + 0.7876 X
Ŷ = 5.5398
t(0.0985/2) = t(0.1/2) = 2.132
X̅ = (Xi / n ) = 17/6 = 2.8333
90% confidence interval is (3.9797 <
< 7.0999 )
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