1.3) Consider the E-views output displayed below. It provides information on the Autocorrelation function (ACF) and Partial Autocorrelation function (PACF) coefficients estimated on X observations for a series : 1.3.1) Using a simple rule of thumb determine which, if any, of the ACF and PACF coefficients are significant at the 5% level. (15%) 1.3.2.) Use both the Box-Pierce and Ljung-Box statistics to test the null hypothesis that the first five autocorrelation coefficients are jointly zero. (20%) Consider the E-views output displayed below. It provides information on the Autocorrelation function (ACF) and Partial Autocorrelation function (PACF) coefficients estimated on X observations for a series yt : Correlogram of Y 1.3.1) Using a simple "rule of thumb" determine which, if any, of the ACF and PACF coefficients are significant at the 5% level. (15%) 1.3.2.) Use both the Box-Pierce and Ljung-Box statistics to test the null hypothesis that the first five autocorrelation coefficients are jointly zero. (20%).