2020-06-29T15:37:07-04:00
No.3. A researcher conducted an experiment on rats and found the below given data of initial weights X of 15 four weeks-old rats and their weight gains Y, after 9 weeks on a special diet. (2+2+1)
Initial weight(X) 55,68,72,43,56,54,62,59,74,73,64,51,70,49,63
Weight gain(Y) 112,95,120,121,122,105,85,89,98,95,104,135,125,118,90
The researcher wish to know
(a) Whether or not the weight gain depends upon birth weight
(b) Is there any relationship between birth weight and weight gain after 9 weeks of special diet.
(c) Interpret your finding in part (a) and part(b). write down the relationship between correlation and regression coefficients.
1
2020-07-02T19:14:08-0400
∑ i = 1 n x i = 913 , x ˉ = 1 15 ⋅ 913 = 60.866667 \displaystyle\sum_{i=1}^nx_i=913, \bar{x}={1\over 15}\cdot913=60.866667 i = 1 ∑ n x i = 913 , x ˉ = 15 1 ⋅ 913 = 60.866667
∑ i = 1 n y i = 1614 , y ˉ = 1 15 ⋅ 1614 = 107.6 \displaystyle\sum_{i=1}^ny_i=1614, \bar{y}={1\over 15}\cdot1614=107.6 i = 1 ∑ n y i = 1614 , y ˉ = 15 1 ⋅ 1614 = 107.6
S S x x = ∑ i = 1 n x i 2 − 1 n ( ∑ i = 1 n x i ) 2 = 1259.733333 SS_{xx}=\displaystyle\sum_{i=1}^nx_i^2-{1\over n}(\displaystyle\sum_{i=1}^nx_i )^2=1259.733333 S S xx = i = 1 ∑ n x i 2 − n 1 ( i = 1 ∑ n x i ) 2 = 1259.733333
S S y y = ∑ i = 1 n y i 2 − 1 n ( ∑ i = 1 n y i ) 2 = 3317.6 SS_{yy}=\displaystyle\sum_{i=1}^ny_i^2-{1\over n}(\displaystyle\sum_{i=1}^ny_i )^2=3317.6 S S yy = i = 1 ∑ n y i 2 − n 1 ( i = 1 ∑ n y i ) 2 = 3317.6
S S x y = ∑ i = 1 n x i y i − 1 n ( ∑ i = 1 n y i ) ( ∑ i = 1 n x i ) = − 822.8 SS_{xy}=\displaystyle\sum_{i=1}^nx_iy_i-{1\over n}(\displaystyle\sum_{i=1}^ny_i )(\displaystyle\sum_{i=1}^nx_i)=-822.8 S S x y = i = 1 ∑ n x i y i − n 1 ( i = 1 ∑ n y i ) ( i = 1 ∑ n x i ) = − 822.8
m = S x y S x x = − 0.6532 m=\dfrac{S_{xy}}{S_{xx}}=-0.6532 m = S xx S x y = − 0.6532
n = y ˉ − m x ˉ = 147.3553 n=\bar{y}-m\bar{x}=147.3553 n = y ˉ − m x ˉ = 147.3553
Therefore, we find that the regression equation is:
Y ^ = 147.3553 − 0.6532 X \hat{Y}=147.3553-0.6532X Y ^ = 147.3553 − 0.6532 X
r = S x y S x x S y y = − 0.4025 r=\dfrac{S_{xy}}{\sqrt{S_{xx}}\sqrt{S_{yy}}}=-0.4025 r = S xx S yy S x y = − 0.4025 0.4 < ∣ r ∣ < 0.7 0.4<|r|<0.7 0.4 < ∣ r ∣ < 0.7 moderate corelation
(a) The weight gain depends upon birth weight.
(b) There is relationship between birth weight and weight gain after 9 weeks of special diet.
(c) There is a negative moderate relationship between birth weight and weight gain after 9 weeks of special diet.
Y ^ = 147.3553 − 0.6532 X \hat{Y}=147.3553-0.6532X Y ^ = 147.3553 − 0.6532 X r = − 0.4025 r=-0.4025 r = − 0.4025
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