( 2 , 6 ) , ( 3 , 12 ) , ( 4 , 15 ) , ( 5 , 21 ) we want to find the line t = m s + q , with slope m and y-intercept q , that best fits this data. namely, we go ahead and try to solve the system a x = b with a = ? ? ? ? ? ? 2 1 3 1 4 1 5 1 ? ? ? ? ? ? , b = ? ? ? ? ? ? 6 12 15 21 ? ? ? ? ? ? and x = [ m q ] however, this system is very likely to be inconsistent. so instead we write down the normal equation a t a x = a t b and solve it to get the least squares solution x = [ m , q ] t .
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Category: business |
Author: Sarah Aksinia

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