QuickHelper

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About QuickHelper

Levels Tought:
Elementary,High School,College,University,PHD

Expertise:
Accounting,Applied Sciences See all
Accounting,Applied Sciences,Business & Finance,Chemistry,Engineering,Health & Medical Hide all
Teaching Since: May 2017
Last Sign in: 356 Weeks Ago
Questions Answered: 20103
Tutorials Posted: 20155

Education

  • MBA, PHD
    Phoniex
    Jul-2007 - Jun-2012

Experience

  • Corportae Manager
    ChevronTexaco Corporation
    Feb-2009 - Nov-2016

Category > Accounting Posted 12 Jun 2017 My Price 9.00

Statistics for Mangers

Question description

 

 

  1. Create a correlation table for the variables in our Employee Salary Data Set. (Use analysis ToolPak function Correlation.)
    1. Interpret the results. What variables seem to be important in seeing if we pay males and females equally for equal work?
  2. Below is a regression analysis for salary being predicted/explained by the other variables in our sample  (Mid, age, ees, sr, raise, and deg variables.) 
    Note: since salary and compa are different ways of expressing an employee’s salary, we do not want to have both used in the same regression.
  3. Perform a regression analysis using compa as the dependent variable and the same independent variables as used in question 2.  Show the result, and interpret your findings by answering the same questions.
    Note: be sure to include the appropriate hypothesis statements.
  4. Based on all of your results to date, is gender a factor in the pay practices of this company?  Why or why not? Which is the best variable to use in analyzing pay practices - salary or compa? Why?
  5. Why did the single factor tests and analysis (such as t and single factor ANOVA tests on salary equality) not provide a complete answer to our salary equality question? What outcomes in your life or work might benefit from a multiple regression examination rather than a simpler one variable test?

Answers

QuickHelper
(10)
Status NEW Posted 12 Jun 2017 06:06 AM My Price 9.00

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