PULL STRENGTH Choose the correct P-value. O 1.07546E-19 0.000188266 0.04409945 O 3.90691E-19

Linear Algebra: A Modern Introduction
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Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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what is the p-value

PULL STRENGTH
Choose the correct P-value.
O 1.07546E-19
0.000188266
O 0.04409945
O 3.90691E-19
Transcribed Image Text:PULL STRENGTH Choose the correct P-value. O 1.07546E-19 0.000188266 O 0.04409945 O 3.90691E-19
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
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
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