An economist estimates the following model: y =
β0 + β1x +
ε. She would like to construct interval estimates for
y when x equals 2. She estimates a modified model
where y is the response variable and the explanatory
variable is now defined as x+ = x – 2.
A portion of the regression results is shown in the accompanying
table.
|
Regression Statistics |
|
| R Square | 0.42 |
| Standard Error | 3.86 |
| Observations | 12 |
| Coefficients | Standard Error | t-stat | p-value | Lower 95% | Upper 95% | |
| Intercept | 24.78 | 2.76 | 8.98 | 4.2E-06 | 18.63 | 30.93 |
| Bedroom | 2.52 | 0.95 | 2.66 | 0.0237 | 0.41 | 4.63 |
According to the modified model, which of the following is the
predicted value of y when x equals 2?
Multiple Choice
2.52
24.78
27.30
29.82
when x = 2
x-2 = 0
hence
y^ = 24.78 + 2.52* (x-2)
= 24.78
option B) is correct
An economist estimates the following model: y = β0 + β1x + ε. She would like...
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Need help with stats true or false questions
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