JLL STRENGTH 1oose the correct final conclusion. The P-value is low so we conclude that all of the predictors here are useful for predicting pull strength. The P-value is not very low so we cannot conclude that there is at least one predictor here that is useful in predicting pull strength. The P-value is not very low so we cannot conclude that all of the predictors here are useful for predicting pull strength. The P-value is low so we conclude that there is at least one predictor here that is useful in predicting pull strength. The D that t her rc hore for nr
JLL STRENGTH 1oose the correct final conclusion. The P-value is low so we conclude that all of the predictors here are useful for predicting pull strength. The P-value is not very low so we cannot conclude that there is at least one predictor here that is useful in predicting pull strength. The P-value is not very low so we cannot conclude that all of the predictors here are useful for predicting pull strength. The P-value is low so we conclude that there is at least one predictor here that is useful in predicting pull strength. The D that t her rc hore for nr
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
what is the final conclusion

Transcribed Image Text:PULL STRENGTH
Choose the correct final conclusion.
The P-value is low so we conclude that all of the predictors here are useful for predicting
pull strength.
The P-value is not very low so we cannot conclude that there is at least one predictor
here that is useful in predicting pull strength.
The P-value is not very low so we cannot conclude that all of the predictors here are
useful for predicting pull strength.
The P-value is low so we conclude that there is at least one predictor here that is useful
in predicting pull strength.
The P-value is low so we conclude that there are no useful predictors here for predicting
pull strength.
The P-value is not very low so we cannot conclude that there are no useful predictors
here for predicting pull strength.

Transcribed Image Text:Use the information below to answer the PULL STRENGTH questions that follow.
Data from “Applied Statistics and Probability for Engineers", Fourth Edition, by Douglas C.
Montgomery & George C. Runger.
The Excel multiple regression output below is for predicting pull strength from wire
length and die height.
MULTIPLE REGRESSION EXCEL OUTPUT (PULL STRENGTH)
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.990523843
R Square
0.981137483
Adjusted R Square 0.979422709
Standard Error
2.288046833
Observations
25
ANOVA
df
S
MS
Significance F
Regression
5990.771221
2995.385611
572.1671503
1.07546E-19
Residual
22
115.1734828
5.235158308
Total
24
6105.944704
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
2.263791434
1.060066238 2.135518851
0.04409945
0.065348623 4.462234246
Wire Length
2.744269643 0.093523844 29.34299438
3.90691E-19
2.550313062
2.938226225
Die Height
0.012527811 0.002798419
4.476746229 0.000188266 0.006724246 0.018331377
© 2020 Radha Bose, Florida State University Department of Statistics
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps

Knowledge Booster
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.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