QuickHelper

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About QuickHelper

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Elementary,High School,College,University,PHD

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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

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

Category > Accounting Posted 28 Aug 2017 My Price 11.00

statistical testing by engaging , statistics homework help

Question description

 

Discussion 1: Multiple Regression

As with the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will once again work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.

To prepare for this Discussion:

  • Review this week’s Learning Resources and media program related to multiple regression.
  • Create a research question using the General Social Survey that can be answered by multiple regression.

By Day 3

Use SPSS to answer the research question. Post your response to the following:

1. What is your research question? Is there any relation on the usage of cell phones and Employment Status, Age & Education?

2. What is the null hypothesis for your question? There is a null hypothesis

3. What research design would align with this question?

4. What dependent variable was used and how is it measured? Research scenario Rs occupational prestige score is the dependent variable.

5. What independent variable is used and how is it measured? My independent variables are highest year of school completed, respondent age, and a dummy variable of American

6. What other variables were added to the multiple regression models as controls?

7. What is the justification for adding the variables?

8. If you found significance, what is the strength of the effect?

9. Explain your results for a lay audience, explain what the answer to your research question.

Answers

QuickHelper
(10)
Status NEW Posted 28 Aug 2017 07:08 AM My Price 11.00

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