Based on the information in the table below, which model seems to be the most appropriate for predicting pull strength? Consider adj R² values that are greater than 70% to be acceptable. Note: the linear correlation coefficient for die height and wire length is 0.378. Model R2 Adjusted R Regression P-value Predictors Die Height 24% 21% 0.0123 I3D Wire Length 96% 96% 4.24E-18 Die Height & Wire Length 98% 98% 1.075E-19 II - Model I Select I is the most appropriate for predicting pull strength. For the next two statements, the first one should have the lower model number and the second one should have the higher model number. If you do it the opposite way round it will be marked incorrect. Choose reasons from the ones listed below the statements. - Model I Select was eliminated because I Select I - Model I Select 1 was eliminated because I Select I A the R° is very low B. the R2 is very high C. the adj R? is very low D. the adj R2 is very high E. the adj R2 is almost the same as the adj R² of the model that was selected as the most appropriate model, but it has more predictors F. the adj R2 is almost the same as the adj R2 of the model that was selected as the most appropriate model, but it has fewer predictors

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
Topic Video
Question

Options for part 1: I, II, III

Options for part 2: (I, II, III), and  (A,B,C,D,E, and F) 

Options for part 3: (I, II, III),  and (A,B, C,D, E, and F) 

PULL STRENGTH
Based on the information in the table below, which model seems to be the most
appropriate for predicting pull strength? Consider adj R? values that are greater than
70% to be acceptable.
Note: the linear correlation coefficient for die height and wire length is 0.378.
Model
Predictors
R2 Adjusted R2 Regression P-value
Die Height
24%
21%
0.0123
Wire Length
96%
96%
4.24E-18
II
Die Height & Wire Length 98%
98%
1.075E-19
- Model
I Select 1
is the most appropriate for predicting pull
strength.
For the next two statements, the first one should have the lower model number and the
second one should have the higher model number. If you do it the opposite way round it
will be marked incorrect. Choose reasons from the ones listed below the statements.
- Model I Select I
was eliminated because
I Select 1
- Model
I Select 1
was eliminated because
I Select 1
A. the R2 is very low
B. the R2 is very high
C. the adj R2 is very low
D. the adj R2 is very high
E. the adj R2 is almost the same as the adj R² of the model that was selected as
the most appropriate model, but it has more predictors
F. the adj R2 is almost the same as the adj R2 of the model that was selected as
the most appropriate model, but it has fewer predictors
-
Transcribed Image Text:PULL STRENGTH Based on the information in the table below, which model seems to be the most appropriate for predicting pull strength? Consider adj R? values that are greater than 70% to be acceptable. Note: the linear correlation coefficient for die height and wire length is 0.378. Model Predictors R2 Adjusted R2 Regression P-value Die Height 24% 21% 0.0123 Wire Length 96% 96% 4.24E-18 II Die Height & Wire Length 98% 98% 1.075E-19 - Model I Select 1 is the most appropriate for predicting pull strength. For the next two statements, the first one should have the lower model number and the second one should have the higher model number. If you do it the opposite way round it will be marked incorrect. Choose reasons from the ones listed below the statements. - Model I Select I was eliminated because I Select 1 - Model I Select 1 was eliminated because I Select 1 A. the R2 is very low B. the R2 is very high C. the adj R2 is very low D. the adj R2 is very high E. the adj R2 is almost the same as the adj R² of the model that was selected as the most appropriate model, but it has more predictors F. the adj R2 is almost the same as the adj R2 of the model that was selected as the most appropriate model, but it has fewer predictors -
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

Blurred answer
Knowledge Booster
Propositional Calculus
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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