Question: SUMMARY OUTPUT Wins v. Team Payroll Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA df SS MS F Regression
SUMMARY OUTPUT Wins v. Team Payroll Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 30 ANOVA df SS MS F Regression 1032.6 1032.6 13.7 Residual 2109.7 75.3 Total Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 67.6 4.02 16.8 3.515E-16 59.4 75.9 Payroll 0.288 0.053 0.0009 0.387 Suppose that the team owner is trying to decide whether to pay a particular free agent player. Based on the player's previous statistics, the owner thinks that the new player can help his team increase the number of wins but the new player is going to cost more than 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 hypothesis, what is the test statistic? (please express your answer using 2 decimal places)
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