(a)
(b)
X Values
∑ = 2040
Mean = 340
∑(X - Mx)2 = SSx = 96600
Y Values
∑ = 97
Mean = 16.167
∑(Y - My)2 = SSy = 292.833
X and Y Combined
N = 6
∑(X - Mx)(Y - My) = 5280
R Calculation
r = ∑((X - My)(Y - Mx)) /
√((SSx)(SSy))
r = 5280 / √((96600)(292.833)) = 0.9927
(c) This is a strong positive correlation, which means that high fat calories go with high saturated fat(and vice versa).
(d)
Sum of X = 2040
Sum of Y = 97
Mean X = 340
Mean Y = 16.1667
Sum of squares (SSX) = 96600
Sum of products (SP) = 5280
Regression Equation = ŷ = bX + a
b = SP/SSX = 5280/96600 =
0.05466
a = MY - bMX = 16.17 -
(0.05*340) = -2.41718
ŷ = 0.05466X - 2.41718
MATH 41 Probability& Stalsles Homewors Fat calorics 190 220 Sat, fat (819LD 0 a) Construct a...
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