Question #202278

For 25 army personnels, line of regression of weight of kidneys (Y) on weight of 

heart (X) is Y=0.399X+6.934 and the line of regression of weight of heart on 

weight of kidney is X−1.212Y +2.461=0. Find the correlation coefficient between 

X and Y and their mean values


1
Expert's answer
2021-06-11T09:46:00-0400

Question:For 25 army personnels line of regression of weight of kidneys (Y) on weight of heart (X) isY=(0.399)X+6.934line of regression of weight of heart (X) on weight of kidney (Y) isX=(1.212)Y 2.461Find (1)the correlation coefficient between X and Y and (2)their mean values(1)Correlation Coefficient Y=0.399X+6.934 is regression equation of y on x byx=0.399 ........[byx is coefficient of X in regression equation of y on x]X=1.212Y2.461 is regression equation of x on ybxy=1.212........[bxy is coefficient of Y in regression equation of x on y]Correlation Coefficient  formular=byxbxyr=0.3991.212r=0.4836r=0.6954(2)Mean of x and ysolve both equation and we will get mean of x and yy=0.399x+6.934y0.399x=6.934and x1.212y+2.461=0x1.21y=2.460.399x+y=6.934equation(1)x1.212y=2.461equation(2)equation(1)×10.399x+y=6.934equation(2)×0.3990.399x0.4836y=0.9819Adding both0.5164y=5.9521y=5.9521 0.5164y=11.5258Putting y=11.5258 in equation (1), we have0.399x+11.5258=6.9340.399x=6.93411.52580.399x=4.5918x=4.5918 0.399 x=11.5083xˉ=11.5083 and yˉ=11.5258Question:-\\ For\space 25\space army\space personnels\\ \space line\space of\space regression\space of\space weight\space of\space kidneys\space (Y)\space on\space weight\space of\space heart\space (X)\space is\\ Y=(0.399)X+6.934\\ line\space of\space regression\space of\space weight\space of\space heart\space (X)\space on\space weight\space of\space kidney\space (Y)\space is\\ X=(1.212)Y\space -2.461\\ Find\space \\ (1)the\space correlation\space coefficient\space between\space X\space and\space Y\space \\ and\\ \space (2)their\space mean\space values \\------------------------------\\ (1)Correlation\space Coefficient\\ \space Y=0.399X+6.934\space is\space regression\space equation\space of\space y\space on\space x\\ \space ∴b_{yx}=0.399\space ........[b_{yx}\space is\space coefficient\space of\space X\space in\space regression\space equation\space of\space y\space on\space x]\\ X=1.212Y-2.461\space is\space regression\space equation\space of\space x\space on\space y\\ ∴bxy=1.212........[b_{xy}\space is\space coefficient\space of\space Y\space in\space regression\space equation\space of\space x\space on\space y]\\ Correlation\space Coefficient\space \space formula\\ r=\sqrt{byx⋅bxy}\\ r=\sqrt{0.399*1.212}\\ r=\sqrt{0.4836}\\ r=0.6954\\ ----------------------------------------- \\ (2)Mean\space of\space x\space and\space y\\ solve\space both\space equation\space and\space we\space will\space get\space mean\space of\space x\space and\space y\\ y=0.399x+6.934\\ ∴y-0.399x=6.934\\ and\\ \space x-1.212y+2.461=0\\ ∴x-1.21y=-2.46\\ -0.399x+y=6.934→equation(1)\\ x-1.212y=-2.461→equation(2)\\ equation(1)×1⇒-0.399x+y=6.934\\ equation(2)×0.399⇒0.399x-0.4836y=-0.9819\\ Adding\space both⇒0.5164y=5.9521\\ ⇒y=\frac{5.9521}{\space 0.5164}\\ ⇒y=11.5258\\ Putting\space y=11.5258\space in\space equation\space (1),\space we\space have\\ -0.399x+11.5258=6.934\\ ⇒-0.399x=6.934-11.5258\\ ⇒-0.399x=-4.5918\\ ⇒x=\frac{4.5918}{\space 0.399}\\ \space ⇒x=11.5083\\ ∴\bar{x}=11.5083\space and\space \bar{y}=11.5258\\


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