Which of the following is a correct equation of the linear model? O Predicted pull strength = 2.264 + 2.744wirelength + 0.013dieheight %3D Pull strength = 2.264 + 2.744wirelength + 0.013dieheight O Predicted pull strength = -2.264 + 2.744wirelength + 0.013dieheight O 2.264 Pull Strength = 2.744wirelength + 0.013dieheight O Predicted pull strength = 2.744wirelength + 0.013dieheight %3D O Pull strength = 2.744wirelength + 0.013dieheight

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PULL STRENGTH
Which of the following is a correct equation of the linear model?
Predicted pull strength = 2.264 + 2.744wirelength + 0.013dieheight
%3D
Pull strength = 2.264 + 2.744wirelength + 0.013dieheight
Predicted pull strength = -2.264 + 2.744wirelength + 0.013dieheight
O 2.264 Pull Strength = 2.744wirelength + 0.013dieheight
Predicted pull strength = 2.744wirelength + 0.013dieheight
Pull strength = 2.744wirelength + 0.013dieheight
Transcribed Image Text:PULL STRENGTH Which of the following is a correct equation of the linear model? Predicted pull strength = 2.264 + 2.744wirelength + 0.013dieheight %3D Pull strength = 2.264 + 2.744wirelength + 0.013dieheight Predicted pull strength = -2.264 + 2.744wirelength + 0.013dieheight O 2.264 Pull Strength = 2.744wirelength + 0.013dieheight Predicted pull strength = 2.744wirelength + 0.013dieheight Pull strength = 2.744wirelength + 0.013dieheight
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
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
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