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Assignments Applied Regression Analysis and Other Multivariable**More:**

** Assignments**

**Applied Regression Analysis and Other Multivariable Methods, 5 ^{th} ed, Kleinbaum et. al.**

**Incorporate any generated computer output. Show all work. **

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**Chapter 11: Confounding and Interaction Due ________________**

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** Pages: 242?256 2, 3, 4**

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**Problem 2:**

**Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.**

**Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?**

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**Problem 3:**

**Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.**

**Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?**

**What does this example illustrate about using a test of the hypothesis H _{0}: b_{2} = 0 in order to assess confounding.**

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**Problem 4:**

**Fill in the following ANOVA table for the model . **

**Test if X _{2} should be entered into a model already containing X_{1}.**

**Test if X _{3} should be entered into a model already containing X_{1} & X_{2}.**

**Test if X _{2} & X_{3} should be entered into a model already containing X_{1}.**

**Based upon the previous tests, what is the most appropriate regression model?**

**Based upon the information provided, can you assess whether X _{1} is a confounder of the X_{2}?Y relationship? Explain. **

** **

** Assignments**

**Applied Regression Analysis and Other Multivariable Methods, 5 ^{th} ed, Kleinbaum et. al.**

**Incorporate any generated computer output. Show all work. **

** **

** **

** **

**Chapter 11: Confounding and Interaction Due ________________**

** **

** Pages: 242?256 2, 3, 4**

** **

** **

** **

**Problem 2:**

**Using the appropriate regression coefficient as your measure of association, determine whether confounding exists. Explain.**

**Suppose that confounding was defined to require a comparison of crude versus adjusted (partial) correlation coefficients. What conclusion would you draw?**

** **

** **

**Problem 3:**

**What does this example illustrate about using a test of the hypothesis H _{0}: b_{2} = 0 in order to assess confounding.**

** **

** **

**Problem 4:**

**Fill in the following ANOVA table for the model . **

**Test if X _{2} should be entered into a model already containing X_{1}.**

**Test if X _{3} should be entered into a model already containing X_{1} & X_{2}.**

**Test if X _{2} & X_{3} should be entered into a model already containing X_{1}.**

**Based upon the previous tests, what is the most appropriate regression model?**

**Based upon the information provided, can you assess whether X _{1} is a confounder of the X_{2}?Y relationship? Explain. **

** **

NetSales 131.634 165.1113 191.329 211.199

NetSales 131.634 165.1113 191.329 211.199

Gross Pro?t 28.9119 35.349 41.1114 46.23?

Net Income 4.4311 5.311 6.295 6.61'1

Total Assets 49.996 111.349 13.1311 33.52?

Shareholders' Equity 21:112...

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This question was answered on: * Feb 21, 2020 *

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