earned run average (ERA) is common statistic used for pitchers in major league baseball. pitcher's ERA is average number of runs he gives up per game. the lower pitcher's ERA, the better he is and so we might expect him to be paid a higher salary. A sample of 20 pitchers is selected and their ERA X and salary Y(in $millions) are recorded.

At least square 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 144.46

we conduct an analysis of variance to determine whether linear relation exists between pitcher's ERA and his salary. P-value for appropriate test of significance is:

a. between 0.001 and 0.01

b. between 0.01 and 0.025

c. between 0.025 and 0.05

d.. between 0.05 and 0.10