Section: 1 of 1 Question: 3 of 7 Marks forthls Question: 10 a
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An analysis of the data of the partially destroyed dairy are
variance x=8 and the least square regression lines for the
random variables are 3x 4y = 20, 12x — 8y = 62. Find
the following basis of above infonnation:
(i) Mean value of x and y.
(ii) Correlation co-efficient between x and y.
(iii) SD of x and y.
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"i)"
Since two regression lines always intersect at a point "(\\bar{x},\\bar{y})", representing mean values of the values x and y as shown below:
"3x+4y=20"
"12x-8y=62"
Multiplying the first equation by 4 and subtracting from the second,
"24y=18\\implies\\bar{y}=0.75"
From the first equation
"\\bar{x}={(20-4\\bar{y})\\over3}={17\\over3}=5.67"
Therefore, the mean value of x and y are 5.67 and 0.75 respectively.
"ii)"
To find the given regression equations in such a way that the coefficient of dependent variable is less than one at least in one equation.
So, "3x+4y=20\\implies4y=20-3x\\implies y=5-{3\\over4}x"
That is, "|m_{yx}|=|-{3\\over4}|={3\\over4}"
and
"12x-8y=62\\implies12x=62+8y\\implies x={62\\over12}+{8\\over12}y"
Thus, "m_{xy}={8\\over 12}"
Hence coefficient of correlation "r" between "x" and "y" is given by:
"r=\\sqrt{m_{xy}*m_{yx}}=\\sqrt{{3\\over4}*{8\\over12}}=\\sqrt{1\\over2}=0.7071(4dp)"
"iii)"
Since the variance of x is 8, therefore, its standard deviation is,
"\\sigma_x=\\sqrt{8}=2.8284(4dp)"
To determine the standard deviation of y, consider the formula
"\\sigma_y={m_{yx}\\sigma_x\\over r}=({0.75*2.8284\\over0.7071})=3"
Therefore, the standard deviation for x and y are 2.8284 and 3 respectively.
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