Construct both a 9090% and a 9595% confidence interval for
β1β1.
β^1=38, s=6.4, SSxx=45, n=10β^1=38, s=6.4, SSxx=45, n=10
90% : ≤β1≤≤β1≤
95% : ≤β1≤≤β1≤
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for 90% CI:
sample size n= | 10 | |||||
number of independent variables p= | 1 | |||||
degree of freedom =n-p-1= | 8 | |||||
estimated slope b= | 38 | |||||
standard error of slope=sb= s/sqrt(SSx)= | 0.954056 | |||||
for 90 % confidence and 8degree of freedom critical t= | 1.8600 | |||||
90% confidence interval =b1 -/+ t*standard error= | (36.2255,39.7745) |
for 95% CI:
for 95 % confidence and 8degree of freedom critical t= | 2.3060 | |||||
95% confidence interval =b1 -/+ t*standard error= | (35.7999,40.2001) |
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