The table below is for questions 9-11 and summarizes the error results for a regression model that included 120 total observations. Assumption MODEL Assumption 4 Measure Average Error (all 120 observations) Average Error (1-60) Average Error(61-end) Variance of Error (all 120 observations) Variance of error (1-60) Variance of error (61-end) CORR(error(t),error(t-1)) errors normally distributed? 0.00 -0.15 0.15 1.28 0.64 2.56 -0.85 Assumption 5 Assumption 6 Assumption 7 9. True or False: The errors for this model are normally distributed. 10. True or False: The variance of the errors is constant over time. 11. True or False: The p values for the coefficient estimates of this model should be interpreted with a high degree of caution