Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the tearn is paying its players (expressed in millions of $ s) \begin{tabular}{|c|c|c|c|c|} \hline ANOVA & of & ss & MS & F \\ \hline \multirow{3}{*}{\begin{tabular}{l} Regression \\ Residual \\ Total \end{tabular}} & & 1032.6 & 1032.6 & 13.7 \\ \hline & & 2109.7 & 75.3 & \\ \hline & & y= & & \\ \hline \end{tabular} Suppose that the team owner is trying to decido whether to pay a particular free agest player Based on the player's previoar statistics, the owner thinks that the new player can belp his team increase the number of wins but the new player is going to cost more than the player he will be replacing. The Suppose that the team owner is trying to decide whether to pay a particular free agent player. Based on the player's previoas statisties, the owner thinks that the new player can help his team increase the eumber of wins but the new player is going to cost more thas the player he will be replacing. The owner decides it is a good idea to sign the new player if he can be pretty sure that the coefficient is at least 0.20 . When testing this laypothesis, what is the test statistic? (please express your answer using 2 decimal places)