Brandon works as a statistician for 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 5 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: 1' = 0.57,age = 2192,8392 = 3.35,.9trikeout = 104.6,ssthmt = 7.82 (a) What is the value of b1, the estimated slope? (Round your answer to 3 decimal places, if needed.) (b) What is the value of b0, the estimated intercept? (Round your answer to 3 decimal places, if needed.) (c) What is the percent of variation in the number of strikeouts that is explained by age, using linear regression? (Round your answer to 2 decimal places, if needed.) {d} Can we use this linear regression to predict the number of strikeouts for a player age at 35? O No, because we are uncertain about the range of the number of strikeouts. O No, because we cannot extrapolate. 0 Yes, because we know the slope and intercept values. 0 Yes, because it is a linear relationship. 0 No, because the correlation coefficient is not 1