please show me how to solve this problem

QUESTION 3 [9] 3.1 An OLS (least squares) linear regression model was fitted to 50 pairs of (x,y) values. A Durbin-Watson test was performed on the residuals obtained from the model. The results are shown below. Multiple R-squared: 0.4834 lag Autocorrelation D-W Statistic p-value 1 0.7177592 0.5636784 0 Alternative hypothesis: rho != 0 What is being tested? Explain the above output. What does this output say about the model that was fitted to the data? (4) 3.2 The model was re-fitted by using the Cochran-Orcutt estimation method. A Durbin-Watson test was performed on the residuals obtained from the model. The results are shown below. Multiple R-squared: 0.7104 Durbin-Watson statistic (Cochran-Orcutt): 2.04888, p-value: 5.921e-01 Explain the difference between this result and that given in 3.1. Which of the two models (OLS or Cochran-Orcutt) would you prefer to fit to the data? Give reasons for your