PULL STRENGTHWhich of the following is a correct equation of the linear model?Predicted pull strength = 2.264 + 2.744wirelength + 0.013dieheight%3DPull strength = 2.264 + 2.744wirelength + 0.013dieheightPredicted pull strength = -2.264 + 2.744wirelength + 0.013dieheightO 2.264 Pull Strength = 2.744wirelength + 0.013dieheightPredicted pull strength = 2.744wirelength + 0.013dieheightPull strength = 2.744wirelength + 0.013dieheight 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

Multiple Linear Regression Line: Multiple linear regression line is used to measure the linear…

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

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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

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Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

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

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