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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 | 14.14 | 2.80 | 5.05 | 0.000 |
| x | 4.93 | 0.50 | 9.86 | 0.000 |
| d | −5.72 | 5.50 | −1.04 | 0.314 |
| xd | 1.04 | 0.80 | 1.30 | 0.212 |
a. Compute yˆy^ for x = 10 and
d = 1; then compute yˆy^ for x = 10 and
d = 0. (Round intermediate calculations to at
least 4 decimal places and final answers to 2 decimal
places.)
|
a) x = 10, d = 1
So,
y = 14.14 + 4.93*10 - 5.72*1 + 1.04*10*1 = 68.12
b) x = 10, d = 0
So,
y = 14.14 + 4.93*10 = 63.44
DO NOT ANSWER IF YOU ARE UNSKILLED IN THIS AREA! Using 20 observations, the following regression...
DO NOT ANSWER IF YOU ARE UNSKILLED IN THIS AREA! Consider a binary response variable y and an explanatory variable x that varies between 0 and 4. The linear model is estimated as yˆy^ = −1.19 + 0.53x. a. Compute the estimated probability for x = 2 and x = 3. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Estimated probability x = 2 x = 3 b. For what values of...