Sports team owners are constantly in competition for good players. The better the winning percentage, the more likely the team will provide good business returns for the owners. Does the size of the payroll matter? Below is the regression showing the association between team salaries (in millions of dollars) and the number of wins for 20 teams for a recent season. Complete parts (a) through (c) below. Click the icon to view the regression analysis. Click the icon to view the sports team data. X . a) State the hypotheses about the slope. More Info Ho: There is no linear relationship between team salaries and the number of wins. HA : There is linear relationship between team salaries and the number of wins. Variable Coeff SE(Coeff) t-ratio P-value Intercept 6.876 7.079 0.97 0.3442 b ) Perform the hypothesis test and state your conclusion in context. Salary ($M) 0.015 0.070 0.22 0.8303 s = 4.54 R-Sq = 0.3% Identify the test statistic for this test. 1=(Round to two decimal places as needed.) Identify the P-value for this test. Print Done The P-value is (Round to three decimal places as needed.) State the conclusion to this test in context. Use a significance level of 0.05. O A. Do not reject the null hypothesis. There is sufficient evidence of a linear relationship between salaries and wins. OB. Do not reject the null hypothesis. There is insufficient evidence of a linear relationship between salaries and wins. O C. Reject the null hypothesis. There is insufficient evidence of a linear relationship between salaries and wins. O D. Reject the null hypothesis. There is sufficient evidence of a linear relationship between salaries and wins. c) Using a statistics program and the provided data, check the assumptions and conditions. Is the Linearity Assumption met