1. A quality manager is analysing the scrap metal that is created in the manufacturing of bolts fromfactories. He took the factors that contributes to the amount of scrap metal recorded into account.The following is a partial output of 60 of a sample of factories.X₂279646237200159499389YSource ofVariationRegressionErrorX₁Total110809080602002501.51.4.111.20.90.83X₁ = SIZE - the size of the bolt in mm produced on a production lineX₂ = WEIGHT - the weight of the bolt in gramsX3 = AGE- of the factory in yearsY = SCRAP - scrap metal in kilogramsThe full model was run and the following ANOVA output obtained.DF1012568ab591.2. Interpret each of the regression coefficients.1111X3Sum ofSquares102.921.9124.8SAS produced the following regression function.Ŷ == 80 + 5.5X₁ - 1.4X₂ +0.9X3.MeanSquare34.32.557Answer the following questions.1.1. Is there a statistical relationship between scrap and size, weight and age? The significance levelis 0.05.

We state the hypothesis for the above situation. H0: There is no statistical relationship between…

Answered: 1. A quality manager is analysing the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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