Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

a.) Interpret the coefficient on shall in regression (2). Is this estimate econo

ID: 3340493 • Letter: A

Question

a.) Interpret the coefficient on shall in regression (2). Is this estimate economically significant?

b.) Does adding the control variables in regression (2) change the estimated effect of a shall-carry law in regresssion (1)? Is the coefficient statistically significant?

1.)

2.)

.reg Invio shall, r Number of obs F (1, 1171) Prob F R-squared Root MSE 1,173 86.86 , 0000 0.0866 61735 Linear regression Robust lnvio Coef Std. Err. [9 5% Conf. Interval] -9.32 0.000 6.134919.0193039 317.81 0.000 shall 44296460475283 -.5362148-3497144 6.172793 -cons 6.097045 . reg lnvio shall incarc_rate density avginc pop pb1064 pw1064 pm1029, r

Explanation / Answer

a) Decision rule : if p value < 0.05, then slope or regression coefficient is significant

Yes, Shall is significant

since p value = 0.000< 0.05

it indicates if Shall increases 'one' unit then invio decreases for -0.368 units

b) No change in both the 'Shall' effects are statistically significant

Yes this coeffiient is statistically significant

since p value = 0.000 < 0.05