n 4 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 6 Blue Jays pitchers with ages between 25 and 34 and finds 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: Iaining: uut of r = 0.65,?1EE = 26.4, sage = 3.16, Strikeout = 108.2, sstrikeou, = 7.0 (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 37? O No, because the correlation coefficient is not 1. 0 Yes, because it is a linear relationship. 0 No, because we are uncertain about the range of the number of strikeouts. O Yes, because we know the slope and intercept values. 0 No, because we cannot extrapolate. Check Last saved at16225136