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3. The following questions are related to a simulated data Y. The least square method was used to fit a model of the form Ý, 0 + At + t 1, . .200. The regression output, the ACF plot of the standardized residuals (after regressing Y on time) and the code is below. The code is not needed to answer the question a. Estimate the slope and the intercept of the least regression line for the data. b. What percentage of the variation of Y does the regression line explain? Based on the plot and acf of the residuals can we conclude that the residuals (after fitting a straight line to the data) is random? Do you expect the p-value for runs test for the residuals to be small? Explain! c. d. Based on the output, can we find a 95% confidence interval for the slope? Explain!

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