solution:
scatter plot

after calculating
Sum of X = 130.1
Sum of Y = 53.1
Mean X = 21.6833
Mean Y = 8.85
Sum of squares (SSX) = 331.4283
Sum of products (SP) = 77.805
Regression Equation = ŷ = bX + a
b = SP/SSX = 77.81/331.43 =
0.23476
a = MY - bMX = 8.85 -
(0.23*21.68) = 3.75969
the linear regression is ŷ = 0.23476X +
3.75969
b) coefficient of correlation :
X Values
∑ = 130.1
Mean = 21.683
∑(X - Mx)2 = SSx = 331.428
Y Values
∑ = 53.1
Mean = 8.85
∑(Y - My)2 = SSy = 25.975
X and Y Combined
N = 6
∑(X - Mx)(Y - My) = 77.805
R Calculation
r = ∑((X - My)(Y - Mx)) /
√((SSx)(SSy))
r = 77.805 / √((331.428)(25.975)) = 0.8386
The coefficient of correlation is
r= 0.8386
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