These are all together. There are 2 questions

Earned Run Average (ERA) Is a common statistic used for pitchers in Major League Baseball. A pitcher's ERA is the average number of runs he gives up per game. The lower a pitcher's ERA, the better he is, and so we might expect him to be paid a higher salary. A sample of 25 pitchers is selected and their ERA X and Salary Y (in $millions) are recorded. A least squares regression analysis is conducted. A partially completed ANOVA table is shown below: Source of Variation df Sum of Squares Mean Square F Regression Error 5.48 Total 163.13 We conduct an analysis of variance to determine whether a linear relationship exists between a pitcher's ERA and his salary. The P-value for the appropriate test of significance is: O between 0.001 and 0.01 between 0.01 and 0.025 O between 0.025 and 0.05 hp41 Listen What is the estimate of the parameter o in the simple linear regression model in the previous question? 2.34 5.48 6.09 O 11.23 30.03 Question 30 (1 point) hpTotal 163.13 We conduct an analysis of variance to determine whether a linear relationship exists between a pitcher's ERA and his salary. The P-value for the appropriate test of significance is: O between 0.001 and 0.01 O between 0.01 and 0.025 between 0.025 and 0.05 O between 0.05 and 0.10 O greater than 0.10 Quaction 29 /1 point hp