A professor is interested in understanding the factors on which the grades a student obtains in her final exam depends. She chooses the student's intelligence quotient (X₁), the grades obtained in the mid-term exam (X₂), the number of days the student was present in the class in the whole semester (X) as regressors. She randomly selects 120 students and estimates the following regression function: 9-65+1.23X,, +0.45X, 2.13X + where X₁X and X, denote the predicted value of grades obtained by the student, her intellegence quotient, the grades obtained by her in the mid-term exam, and the number of days she was present in the class in the whole semester, respectively She calculates the value of the regression R to be 0.78 The value of the adjusted R² (²) will be (Round your answer to two decimal places). Which of the following statements is not true about the A7 (Check all that apply) A The value of R is always greater than the given that the number of regressors remains the same in the regression equation. B. The value of increases when a new regressor is added to the regression equation. always lies between 0 and 1. can be gative c. The value of D. The value of R

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
A professor is interested in understanding the factors on which the grades a student obtains in her final exam depends. She chooses the student's intelligence quotient (X₁), the grades obtained in
the mid-term exam (X₂), the number of days the student was present in the class in the whole semester (X3) as regressors.
She randomly selects 120 students and estimates the following regression function:
9-65-123X₁,-0.45X₂ +2.13X+U
where YX₁ X₂ and X₂ denote the predicted value of grades obtained by the student, her intellegence quotient, the grades obtained by her in the mid-term exam, and the number of days she
was present in the class in the whole semester, respectively
She calculates the value of the regression to be 0.78
The value of the adjusted R² (²) will be
(Round your answer to two decimal places)
Which of the following statements is not true about the A? (Check all that apply)
A The value of R² is always greater than the given that the number of regressors remains the same in the regression equation.
B. The value of increases when a new regressor is added to the regression equation.
C. The value of R
always lies between 0 and 1.
D. The value of
can be nogative
Transcribed Image Text:A professor is interested in understanding the factors on which the grades a student obtains in her final exam depends. She chooses the student's intelligence quotient (X₁), the grades obtained in the mid-term exam (X₂), the number of days the student was present in the class in the whole semester (X3) as regressors. She randomly selects 120 students and estimates the following regression function: 9-65-123X₁,-0.45X₂ +2.13X+U where YX₁ X₂ and X₂ denote the predicted value of grades obtained by the student, her intellegence quotient, the grades obtained by her in the mid-term exam, and the number of days she was present in the class in the whole semester, respectively She calculates the value of the regression to be 0.78 The value of the adjusted R² (²) will be (Round your answer to two decimal places) Which of the following statements is not true about the A? (Check all that apply) A The value of R² is always greater than the given that the number of regressors remains the same in the regression equation. B. The value of increases when a new regressor is added to the regression equation. C. The value of R always lies between 0 and 1. D. The value of can be nogative
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman