Applied Statistics for Engineers. Answer D-E only 12-7. A study was performed on wear of a bearing y and itsrelationship to x = oil viscosity and x, = load. The follow-ing data were obtained.yX1X22931.685123015.581617222.010589143.0120111333.0135712540.01115(a) Fit a multiple linear regression model to these data.(b) Estimate o? and the standard errors of the regressioncoefficients.(c) Use the model to predict wear whenx = 25 and x, = 1000.(d) Fit a multiple linear regression model with an interactionterm to these data.(e) Estimate o and se(ß,) for this new model. How did thesequantities change. Does this tell you anything about thevalue of adding the interaction term to the model?(f) Use the model in (d) to predict when x = 25 and x21000. Compare this prediction with the predicted valuefrom part (b) above.

(d) Fit a multiple linear regression model with an interaction term to these data. (e) Estimate o and se(ß,) for this new model. How did these quantities change. Does this tell you anything about the value of adding the interaction term to the model?

(d) Fit a multiple linear regression model with an interaction term to these data. (e) Estimate o and se(ß,) for this new model. How did these quantities change. Does this tell you anything about the value of adding the interaction term to the model?

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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