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Unformatted text preview: Practice Questions for Test 1 (1) Consider fitting the usual simple linear regression model to these data: x |-1 1 y | 1-1 1 (a) Find b 1 , b , b se and a 95 percent confidence interval for 1 . (b) Construct the ANOVA table. (c) Consider fitting the data to the model: Y i = + i . Find b and b . (2) Suppose we fit the usual model Y i = + 1 X i + i assuming E ( i ) = 0 and V ( i ) = 2 . Suppose, however, that E ( i ) = 5 and V ( i ) = x 2 i . How does this affect the mean and variance of b 1 ? (3) Let X = 1- 1 1- 1 1- 1 1 1 1 1 1 1 . (a) Describe the column space L corresponding to X ? (b) Find H = X ( X T X )- 1 X T and verify that H is a projection matrix for L . (4) Suppose that Y = + 1 x + . Further, assume that and 1 are known. Given a value x * of x , find a 95 percent prediction interval for Y = + 1 x * + . Do you need to assume that is Normal for your interval to be valid?...
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This note was uploaded on 03/06/2010 for the course ECON 102 taught by Professor Serra during the Spring '08 term at UCLA.
- Spring '08