BUS 308 Week 4 Lecture 11 Part Two Linear Regression

BUS 308 Week 4 Lecture 11 Part Two Linear Regression for $7 Only

Read Lecture Eleven. Lecture Eleven provides information showing a strong positive correlation and a significant linear regression existed between the individual’s salary and midpoint (used as a substitute for grade). This is not an unexpected outcome in a company. How useful are these in understanding what drives salary differences? Why? What examples of a linear regression might be useful in your personal or professional lives? Why? (This should be started on Day 3.)

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BUS 308 Week 4 Lecture 12 Part Three Multiple Regression

BUS 308 Week 4 Lecture 12 Part Three Multiple Regression for $5 OnlyBUS 308 Week 4 Lecture 12 Part Three Multiple Regression

Read Lecture Twelve. In Lecture Twelve, a multiple-regression equation was developed that showed the factors that influenced a person’s salary and—almost as important—factors that did not influence salary. How do we interpret a multiple-regression equation? Pick one of the factors—whether statistically significant or not—used in the analysis, and describe its impact on salary, what the coefficient is and what it means, what its significance is, and whether you expected this outcome or not. (This should be completed by Day 5.)

Your responses should be separated in the initial post, addressing each part individually, similar to what you see here

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BUS 308 Week 4 Lecture 10 Part One – Correlation

BUS 308 Week 4 Lecture 10 Part One – Correlation for $9 OnlyBUS 308 Week 4 Lecture 10 Part One

Read Lecture Ten. Lecture Ten introduces the idea that different variables may move together—sometimes due to causation and at other times due to an unknown influence. An example involves the perfect (+1.0) correlation between annual number of rum barrels imported into the New England region of the U.S. between the years 1790 and 1820 and the number of churches built each of those years (citation lost). Discuss this correlation: What does it tell us? Does rum drinking cause church building? Does church building cause rum drinking? Or what else could it tell us? If this correlation shows a cause and effect relationship, what drives what? If not, why does it exist? What could this correlation be used for? (This should be started on Day 1.)

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BUS 308 Ashford Entire Course

BUS 308 Ashford Entire Course in $59 Only

Following files are available with the answer:

  1. BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 3.22.doc
  2. BUS 308 Week 1 DQ 1 Performance Report.doc
  3. BUS 308 Week 1 DQ 2 The Empirical Rule vs Chebyshev Theorem.doc
  4. BUS 308 Week 1 Quiz.doc
  5. BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a).docx
  6. BUS 308 Week 2 DQ 1 Relative Frequency.doc
  7. BUS 308 Week 2 DQ 2 Applications for Probability.doc
  8. BUS 308 Week 2 Quiz.doc
  9. BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38.docx
  10. BUS 308 Week 3 DQ 1 Unscientific Sampling.doc
  11. BUS 308 Week 3 DQ 2 Article Review.doc
  12. BUS 308 Week 3 Quiz.doc
  13. BUS 308 Week 4 Assignments Problems 9.13, 9.22, 12.10, 12.18(a).doc
  14. BUS 308 Week 4 DQ 1 Hypothesis Test.doc
  15. BUS 308 Week 4 DQ 2 Creating Hypotheses.doc
  16. BUS 308 Week 4 Quiz.doc
  17. BUS 308 Week 5 DQ 1 Linear Correlation.doc
  18. BUS 308 Week 5 DQ 2 Quality Control.doc
  19. BUS 308 Week 5 Final Part I.xlsx
  20. BUS 308 Week 5 Final Part II Analysis Paper on gas prices.doc

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