Please solve Assignment# 5 the below 2 questions of INDU 441/6321 Introduction to Six Sigma, Concordia University

Problem 1 A company that manufactures marine radar systems builds scanners using main bearings from two suppliers, A and B. One year after installation of systems, engineers from the company service the scanners and check the main bearings for wear. From a random sample of 100 service reports the scanners were categorized according to the bearing supplier and the state of the main bearing. The results are provided in the following table. Bearing state Sound Worn Bearing supplier A 32 3 35 B 48 17 65 80 20 100 Test the null hypothesis indicating that there is no association between bearing supplier and bearing state versus the alternative hypothesis being that there is an association. (with 5% significance level). Problem 2 Based on the Regression Analysis displayed below (with 5% significance level), answer the following questions: Regression Analysis: Tons mined versus Personnel hours The Regression Equation is Tons mined = 4.359 + 0.000310 Personnel hours S - 0. 0559431 R-Sq - 39.28 R-Sq(adj) - 33.18 Analysis of Variance Source DE SS MS F P Regression 1 0. 0201823 0.0201823 6.45 0.029 Error 10 0. 0312964 0.0031296 Total 11 0. 0514787 1) Identify the independent and response variables. What does the regression model (first line) statistically indicate? 2) Describe the null and alternative hypothesis in the regression analysis. 3) What R-sq stands for? 4) Discuss whether or not the regression model is statistically significant based on the "P-value". 5) Based on the R-sq value, discuss whether or not the regression model is statistically significant