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A random sample of second-year UWC students was interviewed to obtain information on their daily study hours, daily yawning frequency as well as their year mark in Micro II. When the regression is run using the software E-Views, the output is as follows: A |MARKS = B₁+ B₂ STUDY + B, YAWN Dependent Variable: MARKS Included observations: 63 Variable C STUDY YAWN R-squared: 0.6979 MARKS: STUDY: YAWN: Parameter 29.4455 3.4829 -1.9966 Micro II year mark Daily study hours Daily yawning frequency Std. Error 11.3478 0.7557 0.3756

A random sample of second-year UWC students was interviewed to obtain information on their daily study hours, daily yawning frequency as well as their year mark in Micro II. When the regression is run using the software E-Views, the output is as follows: A |MARKS = B₁+ B₂ STUDY + B, YAWN Dependent Variable: MARKS Included observations: 63 Variable C STUDY YAWN R-squared: 0.6979 MARKS: STUDY: YAWN: Parameter 29.4455 3.4829 -1.9966 Micro II year mark Daily study hours Daily yawning frequency Std. Error 11.3478 0.7557 0.3756

MATLAB: An Introduction with Applications
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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Calculate the adjusted R-squared. Interpret the answer and the reasoning of using adjusted

R-squared

2 R² =1-(1-R²) n−1 // n-k I VOODOR
Transcribed Image Text:2 R² =1-(1-R²) n−1 // n-k I VOODOR
A random sample of second-year UWC students was interviewed to obtain information on their daily study hours, daily yawning frequency as well as their year mark in Micro II. When the regression is run using the software E-Views, the output is as follows: |MARKS = B₁+ B₂ STUDY + B, YAWN Dependent Variable: MARKS Included observations: 63 Variable C STUDY YAWN R-squared: 0.6979 MARKS: STUDY: YAWN: Parameter 29.4455 3.4829 -1.9966 Micro II year mark Daily study hours Daily yawning frequency Std. Error 11.3478 0.7557 0.3756
Transcribed Image Text:A random sample of second-year UWC students was interviewed to obtain information on their daily study hours, daily yawning frequency as well as their year mark in Micro II. When the regression is run using the software E-Views, the output is as follows: |MARKS = B₁+ B₂ STUDY + B, YAWN Dependent Variable: MARKS Included observations: 63 Variable C STUDY YAWN R-squared: 0.6979 MARKS: STUDY: YAWN: Parameter 29.4455 3.4829 -1.9966 Micro II year mark Daily study hours Daily yawning frequency Std. Error 11.3478 0.7557 0.3756
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