PULL STRENGTHSelect the options that would create a true statement.5.235 units2 is the estimated [ Select ] ["prediction", "standard deviation", "variance", "average", "distance", "residual"] of the distances between [ Select ] ["the predicted die heights and the predicted pull strengths", "the pull strengths and the wire lengths and the die heights", "the observed die heights and the predicted pull strengths", "the observed pull strengths and the predicted pull strengths", "the predicted wire lengths and the predicted pull strengths", "the observed wire lengths and the predicted pull strengths"] . Use the information below to answer the PULL STRENGTH questions thatfollow.Data from "Applied Statistics and Probability for Engineers", Fourth Edition, byDouglas C. Montgomery & George C. Runger.The Excel multiple regression output below is for predicting pull strengthfrom wire length and die height.MULTIPLE REGRESSION EXCEL OUTPUT (PULL STRENGTH)SUMMARY OUTPUTRegression StatisticsMultiple R0.990523843R Square0.981137483Adjusted R Square 0.979422709Standard Error2.288046833Observations25ANOVAdfSMSSignificance FRegression5990.7712212995.385611 572.16715031.07546E-19Residual22115.1734828 5.235158308Total246105.944704Coefficients Standard Errort StatP-valueLower 95%Upper 95%Intercept2.263791434 1.060066238 2.1355188510.044099450.0653486234.462234246Wire Length2.744269643 0.093523844 29.342994383.90691E-192.5503130622.938226225Die Height0.012527811 0.002798419 4.476746229 0.0001882660.006724246 0.018331377

Mean square error = 5.235MSE = MSE = 1n-2∑(y-y^)2

Answered: Select the options that would create a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Concept explainers

Question

100%

PULL STRENGTH

Select the options that would create a true statement.

5.235 units² is the estimated [ Select ] ["prediction", "standard deviation", "variance", "average", "distance", "residual"] of the distances between [ Select ] ["the predicted die heights and the predicted pull strengths", "the pull strengths and the wire lengths and the die heights", "the observed die heights and the predicted pull strengths", "the observed pull strengths and the predicted pull strengths", "the predicted wire lengths and the predicted pull strengths", "the observed wire lengths and the predicted pull strengths"] .

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

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Point Estimation, Limit Theorems, Approximations, and Bounds$

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