Question #349892

Nyanza textile ltd sells six brands of shower-proof jacket. The prices and the numbers sold in week are

Price 18,20,25,27

Number sold 8,6,5,2


Question.

Calculate the Pearson correlation coefficient for the data above. Interprete your results.


Expert's answer

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


XYXYX2Y2188144324642061204003625512562525272547294Sum=90214432078129\def\arraystretch{1.5} \begin{array}{c:c:c:c:c:c} & X & Y & XY & X^2 & Y^2 \\ \hline & 18 & 8 & 144 & 324 & 64 \\ \hdashline & 20 & 6 & 120 & 400 & 36 \\ \hdashline & 25 & 5 & 125 & 625 & 25 \\ \hdashline & 27 & 2 & 54 & 729 & 4 \\ \hdashline Sum= & 90 & 21 & 443 & 2078 & 129 \\ \end{array}




Xˉ=1niXi=904=22.5\bar{X}=\dfrac{1}{n}\sum _{i}X_i=\dfrac{90}{4}=22.5




Yˉ=1niYi=214=5.25\bar{Y}=\dfrac{1}{n}\sum _{i}Y_i=\dfrac{21}{4}=5.25




SSXX=iXi21n(iXi)2SS_{XX}=\sum_iX_i^2-\dfrac{1}{n}(\sum _{i}X_i)^2=20789024=53=2078-\dfrac{90^2}{4}=53




SSYY=iYi21n(iYi)2SS_{YY}=\sum_iY_i^2-\dfrac{1}{n}(\sum _{i}Y_i)^2=129(21)24=18.75=129-\dfrac{(21)^2}{4}=18.75




SSXY=iXiYi1n(iXi)(iYi)SS_{XY}=\sum_iX_iY_i-\dfrac{1}{n}(\sum _{i}X_i)(\sum _{i}Y_i)=44390(21)4=29.5=443-\dfrac{90(21)}{4}=-29.5




r=SSXYSSXXSSYY=29.553(18.75)r=\dfrac{SS_{XY}}{\sqrt{SS_{XX}SS_{YY}}}=\dfrac{-29.5}{\sqrt{53(18.75)}}





=0.9358=-0.9358


Strong negative correlation



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