A1) The residuals from a regression have the following signs: (- - - -)(++)(- - - - - -)(++++)(- - -)(+++++)(- -)(++) Test the null hypothesis of randomness by using a runs test and verify your conclusion both with: a. The confidence interval approach. b. The Swed-Eisenhart approach. A2) You are given the following regression results: ˆ Y ? XXXXXXXXXX ? 3.451X - 0.764X ? 1.358X 2 3 4 t ? XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX) 2 XXXXXXXXXXR ? XXXXXXXXXXn ? XXXXXXXXXXF ? XXXXXXXXXX XXXXXXXXXXIs there a problem with these results? If so, identify what the problem is. A3) Suppose you have calculated the following regression for 9 observations: Y???? X?? X?u t 1 2 2t 3 3t t XXXXXXXXXXThe residuals from this regression are as follows: ˆ u XXXXXXXXXX2 t XXXXXXXXXXAt the 5% level of significance, test for autocorrelation using the Durbin-Watson d test. A4) Based on the simple regression Y???? X?u on a data set of 11 i 1 2 2i i XXXXXXXXXXobservations, you are given the following data regarding the independent variable and the XXXXXXXXXXabsolute value of the residuals: Observation X u 2i i XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX0At the 5% level of significance, test whether heteroskedasticity exists by using Spearman’s rank correlation test. A5) There are eight reasons for the presence of autocorrelation. List any five of them.
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