6.1a Beta coefficients or Standardized coefficients

[@2late4coffee]

I understood the point of volatility in y and x, but might this volatility be negative for us or not? Also, can you give any examples where high volatility is desired in the econometrics research?

[@lisasteuermann]

What is the advantage of standardizing also y and not only X_j? Can I compare x_1 with x_2 if y is not standardized?

[@Retumn98716]

I don't get the intuition behind measuring it in units of SD. SD can be both sides, no? So don't we then in essence only know that there will be a higher "volatility" and not whether the actual score/gpa increased?

[@kakarvenoo]

The interpretation of the slope coefficient in the regression with standardized variables is the following: If x increases by one SD, how many SD will y change by on average, keeping everything else fixed. It is capturing the volatility in y associated with the volatility in x.

[@chrishahe5186]

when you were doing the calculations for the priGPA and final, where did you get 1.915 for b hat j? im confused, someone help pls.

[@preciouschama6172]

Hey veno kakar ,am kindly asking if u can do a video on OLS ASYMPTOTICS please chapter five in the Woodridge book"🥺