In: Statistics and Probability
Using 50 observations, the following regression output is obtained from estimating y = β0 + β1x + β2d1 + β3d2 + ε.
Coefficients | Standard Error |
t Stat | p-value | |
Intercept | −0.82 | 0.25 | −3.28 | 0.0020 |
x | 3.36 | 1.20 | 2.80 | 0.0074 |
d1 | −15.41 | 16.75 | −0.92 | 0.3624 |
d2 | 8.28 | 2.40 | 3.45 | 0.0012 |
a. Compute yˆy^ for x = 312, d1 = 1, and d2 = 0; compute yˆy^ for x = 312, d1 = 0, and d2 = 1. (Round your answers to 2 decimal places.)
yˆ | |
x = 312, d1 = 1 and d2 = 0 | |
x = 312, d1 = 0 and d2 = 1 | |
b-1. Interpret d1 and d2. (You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer. Any boxes left with a question mark will be automatically graded as incorrect.)
b-2. Are both dummy variables individually significant at the 5% level?
A. No, none of the dummy variables are individually significant at 5% level.
B. No, only the dummy variable d2 is significant at 5% level.
C. Yes, both dummy variables are individually significant at the 5% level.
D. No, only the dummy variable d1 is significant at 5% level.