# Question

Refer to Exercise and the Modelling and Simulation in Materials Science and Engineering (Vol. 13, 2005) study in which engineers built a regression model for the tensile yield strength (y) of a new steel alloy. The engineers discovered that the independent variable nickel (x4) was highly correlated with the other 10 potential independent variables. Consequently, nickel was dropped from the model. Do you agree with this decision? Explain.

## Answer to relevant Questions

Refer to Exercise. Two MINITAB residual plots for the simple linear regression model are shown below. a. Which graph should be used to check for normal errors? Does the assumption of normality appear to be satisfied? b. ...a. Write a first-order model relating E (y) to two quantitative independent variables x1 and x2. b. Write a complete second-order model. A study was conducted to identify accounting choice variables that influence a manager’s decision to change the level of the deferred tax asset allowance at a firm (The Engineering Economist, Jan./Feb. 2004). Data were ...Use Table VII of Appendix A to find the following probabilities: a. P(x2≤ 1.063623) for df = 4 b. P(x2 > 30.5779) for df = 15 c. P(x2 ≥ 82.3581) for df = 100 d. P(x2 < 18.4926) for df = 30 Refer to Exercise 13.25. a. Convert the frequency responses to percentages by calculating the percentage of each column total falling in each row. Also, convert the row totals to percentages of the total number of ...Post your question

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