a)
ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
total sum | 34.00 | 25.10 | 35.56 | 0.91 | -4.12 |
mean | 3.78 | 2.79 | SSxx | SSyy | SSxy |
correlation coefficient , r = SSxy/√(SSx.SSy) = -0.725
..............
b)
Ho: ρ = 0
Ha: ρ ╪ 0
n= 9
alpha,α = 0.05
correlation , r= -0.7251
t-test statistic = r*√(n-2)/√(1-r²) =
-2.7861
DF=n-2 = 7
p-value = 0.0271
Decison: p value < α , So, Reject
Ho
.
c)
.................
d)
R² = (SSxy)²/(SSx.SSy) = 0.53
e)
.........
f)
Sample size, n = 9
here, x̅ = Σx / n= 3.778
ȳ = Σy/n = 2.789
SSxx = Σ(x-x̅)² = 35.5556
SSxy= Σ(x-x̅)(y-ȳ) = -4.1
estimated slope , ß1 = SSxy/SSxx =
-4.1222/35.5556= -0.1159
intercept,ß0 = y̅-ß1* x̄ = 2.7889- (-0.1159
)*3.7778= 3.2269
Regression line is, Ŷ= 3.23 +
( -0.12 )*x
....
g)
Predicted Y at X= 5
is
Ŷ= 3.22688 +
-0.11594 *5= 2.6
.....
h)
.
i)
............
Please let me know in case of any doubt.
Thanks in advance!
Please upvote!
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