Interpreting the coefficient of determination for comparison of regression lines [Use the calculator to get r 2 ]: Eight students took a two-part test (similar to the SAT) intended to predict their first- year of college GPA. The table below shows the scores on the two parts and the first-year GPA for the eight students. (a) Make a scatter plot and find the regression line for predicting first-year GPA based on scores from Part A of the test. Keep track of r and r 2. 2. (b) Give the predicted GPA (based on Part A) and the residual for student number 2. (c) Make a scatter plot and find the regression line for predicting first-year GPA based on scores from Part B of the test. Keep track of r and r
Interpreting the coefficient of determination for comparison of regression lines [Use the calculator to get r 2 ]: Eight students took a two-part test (similar to the SAT) intended to predict their first- year of college GPA. The table below shows the scores on the two parts and the first-year GPA for the eight students. (a) Make a scatter plot and find the regression line for predicting first-year GPA based on scores from Part A of the test. Keep track of r and r 2. 2. (b) Give the predicted GPA (based on Part A) and the residual for student number 2. (c) Make a scatter plot and find the regression line for predicting first-year GPA based on scores from Part B of the test. Keep track of r and 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
Related questions
Question
1
someone people help me
![Interpreting the coefficient of determination for comparison of regression lines [Use the calculator
to get r 2 ]: Eight students took a two-part test (similar to the SAT) intended to predict their first-
year of college GPA. The table below shows the scores on the two parts and the first-year GPA for
the eight students.
(a) Make a scatter plot and find the regression line for predicting first-year GPA based on scores
from Part A of the test. Keep track of r and r 2.
2. (b) Give the predicted GPA (based on Part A) and the residual for student number
2. (c) Make a scatter plot and find the regression line for predicting first-year GPA based on scores
from Part B of the test. Keep track of r and r
2. (d) Give the predicted GPA (based on Part B) and the residual for student number
2. (e) Based on the r 2 values, which part of the test, A or B, gave better predictions for these eight
students? Do your scatter plots agree? Do your solutions for parts (b) and (c) agree?
Student Part A Part B GPA
1
50
45
2.9
2
70
55
3.1
65
65
3.3
40
2.7
345678
35 45 70 75 55
50 75 70 60
22333
6
738
2.3
3.8
3.6
3.3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbedf1ad2-fc4e-411e-99f9-33758885a882%2F5c96313a-d953-4ef3-9183-ef6bdd116cec%2Fkkubdfr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Interpreting the coefficient of determination for comparison of regression lines [Use the calculator
to get r 2 ]: Eight students took a two-part test (similar to the SAT) intended to predict their first-
year of college GPA. The table below shows the scores on the two parts and the first-year GPA for
the eight students.
(a) Make a scatter plot and find the regression line for predicting first-year GPA based on scores
from Part A of the test. Keep track of r and r 2.
2. (b) Give the predicted GPA (based on Part A) and the residual for student number
2. (c) Make a scatter plot and find the regression line for predicting first-year GPA based on scores
from Part B of the test. Keep track of r and r
2. (d) Give the predicted GPA (based on Part B) and the residual for student number
2. (e) Based on the r 2 values, which part of the test, A or B, gave better predictions for these eight
students? Do your scatter plots agree? Do your solutions for parts (b) and (c) agree?
Student Part A Part B GPA
1
50
45
2.9
2
70
55
3.1
65
65
3.3
40
2.7
345678
35 45 70 75 55
50 75 70 60
22333
6
738
2.3
3.8
3.6
3.3
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 4 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman