# Why is N*R^2 called an "LM test"?

After OLS, one can test the null hypothesis that all coefficients are 0 by calculating $$N\cdot R^2$$, which is distributed $$\chi^2_{k}$$ where $$k$$ is the number of $$\beta$$ (excluding the constant).

I have seen this called a Lagrange multiplier (LM) test. Why? I'm familiar with the LM test in MLE, but I am struggling to see the mathematical connection between these - although it must exist.

The $$NR^2$$ test is a particular case of an LM test. You can refer to Davidson, R., & MacKinnon, J. G. (1993). Estimation and inference in econometrics, p. 90 for the exact derivation.