Brandon works as a statistician for the Toronto Blue Jays, and wants to analyze the relationship between a player's age and how many strikeouts they accumulate in a season. He takes a sample of 8 Blue Jaysplayers with age 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 thenumber of strikeouts:r = 0.67, age = 28.4, Sage = 3.96, strikeout= 102.9, S strikeout = 7.7(a) What is the value of b₁, i.e. the fitted slope? (Round your answer to 3 decimal places)Answer:(b) What the value of bo, i.e. the fitted intercept? (Round your answer to 3 decimal places.)Answer:(c) What is the percent of variation of the number of strikeouts that is explained by age using a linear regression? (Round your answer to 2 decimal places.)Answer:%(d) Can we use this linear regression to predict the number of strikeouts for a player age 38?Answer:O No, because the correlation coefficient is not 1.O Yes, because we know the slope and intercept values.O No, because we cannot extrapolate.OYes, because it is a linear relationship.O No, because we are uncertain about the range of the number of strikeouts.Check

It is given that r=0.67,age¯=28.4,sage=3.96,strikeout¯=102.9,sstrikeout=7.7.

Answered: Brandon works as a statistician for the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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