Table 2: Model 2 Coefficient Estimates {a} Using the estimates of1 and [852, and of the standard errors from Table 2, determine whether eld time has a statisticallysignificant effect on the number of eld goals '? Formulate the appropriate hypothesis, and test it at a = 1% level of significance. {b} Does spending more time on the field increase the number of season goals? Formulate (C) the appropriate hypothesis ,and test it at a = 1% level of significance. If a player from this team spends an additional minute on the field, the number of season goals is expected to change by at most how much, with 95% level of confidence? (Hint: use the estimates from Table 2 to find the upper 95% confidence bound {onesided confidence interval} for 2); Use the data provided in Table 3 below to find the Residual Sum of Squares (RSS), Explained Sum of Squares {E53} and the Total Sum of Squares (TSS) for this regression. Table 3: 3.53, E55 and T53 components (e) Use the RSS , T35 and Jfor ESS to calculate the coefficient of determination (R1) for this regression . What can you conclude about the overall goodness of t? {f} Which of the seven players in your sample spends his or her time on the eld most effectively? Which player is least effective? (Hint: calculate and consider the residuals Eli)