Consider the following regression: i = - 66.1058 + 0.0650 Xi r2 = 0.9460 se = (10.7509)

Question:

Consider the following regression:
Ŷi = - 66.1058 + 0.0650 Xi r2 = 0.9460
se = (10.7509) ( ) n = 20
t = ( ) (18.73)
Fill in the missing numbers. Would you reject the hypothesis that true B2 is zero at a = 5%? Tell whether you are using a one-tailed or two-tailed test and why.