ing: 11" Brandon works as a statistician tor the Toronto Blue Jays, and wants to analyze the relationship between a pitcher's age and how many strikeouts they accumulate in a season. He takes a sample of 7 Blue Jays pitchers with ages between 25 and 34 and nds there is a linear relationship between their ages and the number of strikeouts they had in the 2015 season. Here are the numerical summaries for age and the number of strikeouts: r = 0.68,?26 = 29.9, sage = 3.74, Strikeout = 101.5. ammo\"; = 7.81 (a) What is the value of b1, the estimated slope? (Round your answer to 3 decimal places. if needed.) (in) What is the value of co, the estimated intercept? (Round your answer to 3 decimal places, if needed.) to) What is the percent of variation in the number oi strikeouts that is explained by age. using linear regression? (Hound your answer to 2 decimal places. it needed.) (d) Can we use this linear regression to predict the number of strikeouts for a player age at 40? O No, because we are uncertain about the range at the number of strikeouts. O No, because we cannot extrapolate. O No. because the cerrelation coefficient is not 1. O Yes. because we know the slope and intercept values. 0 Yes, because it is a linear relationship