I have the following code trying to calculate a beta (if priceA goes up 1, then priceY goes up X) and theta (each month that passes priceY goes down Z).
lmS9 = lm(priceY ~ months_past + priceA, data = S9)
summary(lmS9)
It prints the following:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.172e+03 3.126e+02 3.750 0.000854 ***
months_past -5.620e+01 2.019e+01 -2.783 0.009703 **
priceA 1.959e-01 9.945e-03 19.701 < 2e-16 ***
Both are significant input variables, but I'm not sure if I'm interpreting it correctly.
In the example above months_past would be theta and priceA would be a form of beta. Is that correct? How can I create a coefficient that says if priceA goes up 1%, the priceY goes up Z?