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Part One – Correlation 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.

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Part One – Correlation

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.)

Part Two – Linear Regression

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.)

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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Problem Set Week Four This week we get to answer our equal pay for equal work question by looking at relationships between and among the different variables.

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Problem Set Week Four

This week we get to answer our equal pay for equal work question by looking at relationships between and among the different variables.

The first question this week looks at correlations and the creation of a correlation table for our variables. The second question asks for a regression equation showing how the different variables impact the compa-ratio measure. The third questions asks you to discuss the benefits of using a regression equation approach over the single variable tests we have been doing.

The forth question asks for what other information you would have liked to have analyzed in our research. The fifth question asks for your answer to the equal pay for equal work question of: Is the company paying fairly or not? If not, who benefits and why?

 
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Examine your findings and determine whether your company outperforms its competition based on financial ratios. Identify where your firm seems to lag. Describe how your firm compares with the industry and speculate as to why you believe your firm is performing as it is.

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Go to MSN Money. (http://investing.money.msn.com/investments/key-ratios) and type in a ticker symbol for a company with the first letter of your last name.

Next, complete the following:

  1. Select “Key Ratios” on the left menu panel.
  2. There are several categories listed for ratios. Select one “Financial Condition Ratio” and one “Management Efficiency Ratio”.
  3. Open the Profile section on the left menu panel and you will see “Industry” is identified. Find a competitive company within that industry and compare those ratios to the ones you just found.

Examine your findings and determine whether your company outperforms its competition based on financial ratios. Identify where your firm seems to lag. Describe how your firm compares with the industry and speculate as to why you believe your firm is performing as it is.

 
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An ordinary annuity has its first payment ______, but an annuity due has its first payment _________. at the beginning of the period; at the beginning of the period. at the beginning of the period; at the end of the period. at the end of the period; at the end of the period. at the end of the period; at the beginning of the period.

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An ordinary annuity has its first payment ______, but an annuity due has its first payment _________.

       at the beginning of the period; at the beginning of the period.

       at the beginning of the period; at the end of the period.

       at the end of the period; at the end of the period.

       at the end of the period; at the beginning of the period.

 
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