QUESTION 2 Suppose the regression model is estimated as follow: Y(hat) = 2475.8 - 114.378 X,, - 107.585 X 2 + 0.080 X + 2.420 X4 (2.219) (2145.5) (197.049) (127.492) (s.e) (6.158) R? = 0.98 N = 100 DW...

QUESTION 2<br>Suppose the regression model is estimated as follow:<br>Y(hat) = 2475.8 - 114.378 X,, - 107.585 X 2 + 0.080 X + 2.420 X4<br>(2.219)<br>(2145.5) (197.049) (127.492)<br>(s.e)<br>(6.158)<br>R? = 0.98<br>N = 100<br>DW statistics = 1.591<br>a) Test the existence of serial autocorrelation for the above model.<br>b) State three (3) ways of correcting the problem in(a)<br>

Extracted text: QUESTION 2 Suppose the regression model is estimated as follow: Y(hat) = 2475.8 - 114.378 X,, - 107.585 X 2 + 0.080 X + 2.420 X4 (2.219) (2145.5) (197.049) (127.492) (s.e) (6.158) R? = 0.98 N = 100 DW statistics = 1.591 a) Test the existence of serial autocorrelation for the above model. b) State three (3) ways of correcting the problem in(a)

Jun 11, 2022

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QUESTION 2 Suppose the regression model is estimated as follow: Y(hat) = 2475.8 - 114.378 X,, - 107.585 X 2 + 0.080 X + 2.420 X4 (2.219) (2145.5) (197.049) (127.492) (s.e) (6.158) R? = 0.98 N = 100 DW...

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