d. r(Round to two decimal places) (Round to two decimal places)© 44mins Xe. Interpret r2 :O There is a large variation in the runs scored in baseball games, but if you only look at gameswith a fixed attendance, this variation on average is reduced by 36%.O There is a 36% chance that the regression line will be a good predictor for the runs scoredbased on the attendance of the game.O Given any fixed attendance, 36% of all of those games will have the predicted number of runsscored.O 36% of all games will have the average number of runs scored.f. The equation of the linear regression line is:ŷ =x (Please show your answers to two decimal places)g. Use the model to predict the runs scored at a game that has an attendance of 21,000 people.Runs scored =(Please round your answer to the nearest whole number.)h. Interpret the slope of the regression line in the context of the question:The slope has no practical meaning since the total number runs scored in a game must bepositive.O For every additional thousand people who attend a game, there tends to be an averageincrease of 0.09 runs scored.O As x goes up, y goes up.i. Interpret the y-intercept in the context of the question:O If the attendance of a baseball game is 0, then 2 runs will be scored.O The average runs scored is predicted to be 2.O The y-intercept has no practical meaning for this study.O The best prediction for a game with 0 attendance is that there will be 2 runs scored.Hint: Helpful Video on the Linear Regression Line 7 (+)Helpful Video on Correlation [+]Helpful Video on Hypothesis Tests for Correlation 7 (+]Hints A © 44mins XWhat is the relationship between the attendance at a major league ball game and the total number of runsscored? Attendance figures (in thousands) and the runs scored for 12 randomly selected games are shownbelow.Attendance5013543431606031424859Runs75438104677a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: ?v = 0H1: ?v + 0The p-value is:(Round to four decimal places)c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the contextof the study.O There is statistically significant evidence to conclude that a game with a higher attendancewill have more runs scored than a game with lower attendance.O There is statistically significant evidence to conclude that there is a correlation between theattendance of baseball games and the runs scored. Thus, the regression line is useful.O There is statistically insignificant evidence to conclude that there is a correlation between theattendance of baseball games and the runs scored. Thus, the use of the regression line is notappropriate.O There is statistically significant evidence to conclude that a game with higher attendance willhave fewer runs scored than a game with lower attendance.d. r?(Round to two decimal places) (Round to two decimal places)e. Interpret r2 :O There is a large variation in the runs scored in baseball games, but if you only look at gameswith a fixed attendance, this variation on average is reduced by 36%.O There is a 36% chance that the regression line will be a good predictor for the runs scoredbased on the attendance of the game.O Given any fixed attendance, 36% of all of those games will have the predicted number of runsscored.O 36% of all games will have the average number of runs scored.f. The equation of the linear regression line is:

NOTE: As per the guidelines, we are supposed to solve first three sub parts only. a).Consider,…

e is a 36% chance that the regression line will be a good predictor for the runs scored | on the attendance of the game. any fixed attendance, 36% of all of those games will have the predicted number of runs f all games will have the average number of runs scored. n of the linear regression line is: r (Please show your answers to two decimal places) del to predict the runs scored at a game that has an attendance of 21,000 people. |(Please round your answer to the nearest whole number.) e slope of the regression line in the context of the question: lope has no practical meaning since the total number runs scored in a game must be

e is a 36% chance that the regression line will be a good predictor for the runs scored | on the attendance of the game. any fixed attendance, 36% of all of those games will have the predicted number of runs f all games will have the average number of runs scored. n of the linear regression line is: r (Please show your answers to two decimal places) del to predict the runs scored at a game that has an attendance of 21,000 people. |(Please round your answer to the nearest whole number.) e slope of the regression line in the context of the question: lope has no practical meaning since the total number runs scored in a game must be

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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