How to find the row wise linear regression coefficients?
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Abhishek Chakraborty on 29 Oct 2021
Commented: Abhishek Chakraborty on 30 Oct 2021
I have 3 matrices Y, x1, and x2 each having 3420 rows and 29 columns. I want the row wise linear regression coefficients of Y on x1, x2, and the interaction between x1 and x2 for their corresponding rows such that the regression coefficient term for each of them is of 3420 rows and 1 column.
I tried the following code:
n = 3420;
b = zeros(n,4);
X(i,4)=[ones([28,1]) x1(i,:)' x2(i,:)' (x1(i,:).*x2(i,:))'];
But it is not giving the desired result.
How to get the linear regression coefficients of Y on x1, x2, and interaction between x1, x2 as a 3420 rows and 1 column array?
Ive J on 30 Oct 2021
nsample = 29;
nvar = 3420;
% sample data
y = rand(nsample, nvar);
x1 = rand(nsample, nvar);
x2 = rand(nsample, nvar);
xInt = x1.*x2;
intercept = ones(nsample, 1);
beta = zeros(nvar, 4);
for i = 1:nvar
desMat = [intercept, x1(:, i), x2(:, i), xInt(:, i)];
beta(i, :) = regress(y(:, i), desMat);
Each row of beta contains coefficients for each variables in nvar.
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