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Status: Closed Points: 25 Time: 04:11 - Oct 30, 2007
debasis
There are two sets of paired variables x1-y1 and x2-y2, where x1 and x2 are independent variables and y1 and y2 are dependent variables. How to check statistically whether the relationship between x1 and y1 is significantly different from the relationship between x2 and y2?
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oracleofDelphi
Date:: Dec 03, 2007
Time:: 12:11
hint: type of growth for f(x) is linear, quadratic, exponential, logarithmic? etc. beyond that.... do your own damn homework.
Date:: Dec 09, 2007
Time:: 21:33
I am not a mathematician: Hence the question. The question was not on any homework.
Date:: Dec 10, 2007
Time:: 13:34
Ok, from a mathematics standpoint, you need to find what category of function bounds your functions. for example, f(x)=n^x (exponential growth) grows much faster than f(x)=x^n (quadratic growth) given n is a constant. The question as to whether f(x) and h(x) are significantly different depends less on extremely large values of x and more on large changes in x. the mathematical proofs for this can be proven for given functions by repeatedly taking their derivitaves and seeing which results in a constant first. In the case where both functions are bound by the same generic function, for example f(x)=x^2 and h(x)=x^2+x+1 are both bound by a generic equation g(x)=ax^2+bx+c, significant differences apply more to smaller changes in x. in this case, you want to do a variance analysis over a specified range of x, or simply subtract the functions from each other. In the case of f(x) and h(x) above, the result is a linear equation which I would define as insignificantly different, or a high slope linear equation that one could interpret as significantly different.
admin
Date:: Mar 04, 2009
Time:: 10:00
The question looks to be abandoned by the user who asked it. If no action is taken within 2 days, a Quomon Moderator will consider closing the question and distributing the points. The Quomon Team
Date:: Mar 10, 2009
Time:: 14:02
The question has been closed. The Quomon Team
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