am. 330. In a sport like basketball, there is always a preference given to taller players since it is widely believed that taller players tend to perform better than shorter players. However, if one looks at thehistory of NBA, there have been instances when players with relatively shorter heights have performed exceedingly well. Michael, an ardent follower of this game, is interested in understanding therelationship between a player's height and how well he performs. Accordingly, he collects data on the heights of 105 shooting guards and the number of points they scored in a tournament. Theestimated regression function is:P₁ = 1.20 +0.71H;.where P, is the predicted value of the number points scored by the th player in the tournament and H, is the height of the th player measured in inches.Michael wants to check how well his OLS regression line fits the data before arriving at any conclusion. From the sample data, he makes the following calculations.105Σ (-7)2 =1i=1= 78.45.105Σ (P - P)2 = 103.47./=1The regression R² is(Round your answer to two decimal places.)Which of the following statements are true about the value of R²? (Check all that apply).ΠΑ The value of R² lies between 1 and +1.B. If the independent variable explains all the variations in the dependent variable, then the value of R² will be 1.C. The value of R² lies between 0 and 1.D. If the independent variable explains none of the variations in the dependent variable, then the value of R² will be 0.

The data on the points scored by the player in a tournament is provided. is predicted value.Sum of…

In a sport like basketball, there is always a preference given to taller players since it is widely believed that taller players tend to perform better than shorter players. However, if one looks at the history of NBA, there have been instances when players with relatively shorter heights have performed exceedingly well. Michael, an ardent follower of this game, is interested in understanding the relationship between a player's height and how well he performs. Accordingly, he collects data on the heights of 105 shooting guards and the number of points they scored in a tournament. The estimated regression function is: P₁=1.20+0.71H;. where P, is the predicted value of the number points scored by the ith player in the tournament and H, is the height of the ith player measured in inches. Michael wants to check how well his OLS regression line fits the data before arriving at any conclusion. From the sample data, he makes the following calculations. 105 Σ (P₁-P)² = 78.45. i=1 105 Σ (P₁-P)²=103.47. /=1 The regression R² is (Round your answer to two decimal places.) Which of the following statements are true about the value of R²? (Check all that apply). A. The value of R² lies between - 1 and +1. B. If the independent variable explains all the variations in the dependent variable, then the value of R² will be -1. C. The value of R² lies between 0 and 1. D. If the independent variable explains none of the variations in the dependent variable, then the value of R² will be 0.

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section: Chapter Questions

Problem 13PT