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    Hi so I was wondering if anyone could help me with this stats (s1) question on regression.

    It goes...
    In a regression calculation for five pairs of observations, one pair of values were lost. The regression line of y=2x - 0.1

    The other four pairs of values are

    x: 0.1 0.2 0.4 0.3
    y: 0.1 0.3 0.7 0.4

    Find the pissing pairs of values, using the following date for the four pairs above:

    Sigma x = 1
    Sigma x^2 = 0.3
    Sigma xy = 0.47
    Sigma y = 1.5


    I've started doing it, but I've got myself stuck into a crazy algebraic equation which i doubt will give me the right answer.

    So please help if you can and show me how you would work this out.

    Thanks in advance!
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    Anyone?
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    to find the missing pair (p,q) you can start by using the fact that the point (xbar, ybar) must fit the regression line exactly.

    xbar is (1+p) /5
    ybar is (1.5 +q)/5

    this leads to q=2p

    then you write out the formulas for the gradient and intercept of the regression line and substitute in 2p for q.
    this leads to a quadratic equation in p which you can solve...

    the bear

    :train::bubbles::train:
 
 
 
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Updated: December 10, 2010
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