Using 20 observations, the following regression output is
obtained from estimating y = β0 +
β1x + β2d
+ β3xd + ε.
Coefficients | Standard Error | t Stat | p-value | |
Intercept | 14.45 | 3.40 | 4.25 | 0.001 |
x | 5.10 | 0.68 | 7.50 | 0.000 |
d | −6.94 | 3.47 | −2.00 | 0.063 |
xd | 1.01 | 0.50 | 2.02 | 0.061 |
a. Compute yˆy^ for x = 12 and d
= 1; then compute yˆy^ for x = 12 and d = 0.
(Round intermediate calculations to at least 4 decimal
places and final answers to 2 decimal places.)
b-1. Is the dummy variable d significant
at the 5% level?
Yes, since we reject the relevant null hypothesis.
Yes, since we do not reject the relevant null hypothesis.
No, since we reject the relevant null hypothesis.
No, since we do not reject the relevant null hypothesis.
b-2. Is the interaction variable xd
significant at the 5% level?
No, since we do not reject the relevant null hypothesis.
Yes, since we do not reject the relevant null hypothesis.
No, since we reject the relevant null hypothesis.
Yes, since we reject the relevant null hypothesis.
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