Question #349820

Solve for r and interpret the result

X 2,4,6,7,10

Y 8,10,12,6,16


1
Expert's answer
2022-06-13T12:54:35-0400

In order to compute the regression coefficients, the following table needs to be used:


XYXYX2Y2281646441040161006127236144764249361016160100256Sum=2952330205600\def\arraystretch{1.5} \begin{array}{c:c:c:c:c:c} & X & Y & XY & X^2 & Y^2 \\ \hline & 2 & 8 & 16 & 4 & 64 \\ \hdashline & 4 & 10 & 40 & 16 & 100 \\ \hdashline & 6 & 12 & 72 & 36 & 144 \\ \hdashline & 7 & 6 & 42 & 49 & 36 \\ \hdashline & 10 & 16 & 160 & 100 & 256 \\ \hdashline Sum= & 29 & 52 & 330 & 205 & 600 \\ \hdashline \end{array}




Xˉ=1niXi=295=5.8\bar{X}=\dfrac{1}{n}\sum _{i}X_i=\dfrac{29}{5}=5.8




Yˉ=1niYi=525=10.4\bar{Y}=\dfrac{1}{n}\sum _{i}Y_i=\dfrac{52}{5}=10.4




SSXX=iXi21n(iXi)2SS_{XX}=\sum_iX_i^2-\dfrac{1}{n}(\sum _{i}X_i)^2=2052925=36.8=205-\dfrac{29^2}{5}=36.8





SSYY=iYi21n(iYi)2SS_{YY}=\sum_iY_i^2-\dfrac{1}{n}(\sum _{i}Y_i)^2=600(52)25=59.2=600-\dfrac{(52)^2}{5}=59.2




SSXY=iXiYi1n(iXi)(iYi)SS_{XY}=\sum_iX_iY_i-\dfrac{1}{n}(\sum _{i}X_i)(\sum _{i}Y_i)=33029(52)5=28.4=330-\dfrac{29(52)}{5}=28.4





r=SSXYSSXXSSYY=28.436.8(59.2)r=\dfrac{SS_{XY}}{\sqrt{SS_{XX}SS_{YY}}}=\dfrac{28.4}{\sqrt{36.8(59.2)}}




=0.608462=0.608462




0.4<r<0.70.4<r<0.7

Moderate positive correlation


m=slope=SSXYSSXX=28.436.8=0.7717m=slope=\dfrac{SS_{XY}}{SS_{XX}}=\dfrac{28.4}{36.8}=0.7717n=YˉmXˉ=10.428.436.8(5.8)=5.9239n=\bar{Y}-m\bar{X}=10.4-\dfrac{28.4}{36.8}(5.8)=5.9239



The regression equation is:


y=5.9239+0.7717xy=5.9239+0.7717x

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