X | Y | XY | X² | Y² | |
total sum | 43 | 572.00 | 1697.8 | 157.42 | 23530 |
mean | 3.0714 | 40.8571 |
sample size , n = 14
here, x̅ = 3.071428571
ȳ = 40.85714286
SSxx = Σx² - (Σx)²/n = 25.35
SSxy= Σxy - (Σx*Σy)/n = -59.06
SSyy = Σy²-(Σy)²/n = 159.71
slope , ß1 = SSxy/SSxx = -2.33
intercept, ß0 = y̅-ß1* x̄ = 48.01
a)
intercept = 48.01
b)
slope = -2.33
c)
when X=3.1
Y= -2.33*3.1 + 48.01 = 40.79
d)
X Value 3.1
Confidence Level 95%
Sample Size , n= 14
Degrees of Freedom,df=n-2 = 12
critical t Value = 2.179
X̅ = 3.071
Σ(x-x̅)² =Sxx 25.349
Standard Error of the Estimate,Se= 1.3578
h Statistic = (1/n+(X-X̅)^2/Sxx) = 0.0715
Predicted Y (YHat) = 40.79
For Average Y
margin of error,E=t*Se*√(1/n+(X-X̅)^2/Sxx) =
0.7908
Confidence Lower Limit=Ŷ -E = 40.00
Confidence Upper Limit=Ŷ +E = 41.58
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