I have a table of 4 variables where some of the data is missing and I need to impute the missing values, my table is as follows:
X1 X2 X3 X4
1.0 20 3.5 4
1.1 18 4.0 2
1.9 22 2.2 -
0.9 15 - -
My notes for this material a quite limited and not very intuitive, could someone explain to me how I can solve for the 4th value in X3? My notes make reference to Use linear regression, sweep left-to-right X3=a+b*X2+c*X1 and X4=d+e*X3+f*X2+g*X1 but I don't see where a,b,c,d,e,f and g are.
From my limited knowledge of regression there is generally a dependent variable y which we can predict B0 and B1 but this isn't the case here.
Can anyone point me in the right direction?
X1 X2 X3 X4
1.0 20 3.5 4
1.1 18 4.0 2
1.9 22 2.2 -
0.9 15 - -
My notes for this material a quite limited and not very intuitive, could someone explain to me how I can solve for the 4th value in X3? My notes make reference to Use linear regression, sweep left-to-right X3=a+b*X2+c*X1 and X4=d+e*X3+f*X2+g*X1 but I don't see where a,b,c,d,e,f and g are.
From my limited knowledge of regression there is generally a dependent variable y which we can predict B0 and B1 but this isn't the case here.
Can anyone point me in the right direction?