A6.1: Chapter 9, Problem 9.1, Scatterplots to Check the Assumption of Linearity. Write a short narrative  of your process and interpretation of your findings. , Cut and paste the Scatterplots with Regression  Lines from Output 9.1a and 9.1b directly into your document and refer to them in your interpretation.    A6.2: Chapter 9, Problem 9.2, Bivariate Pearson and Spearman Correlations. Write a short narrative of  your process, an interpretation of your findings, and write your results. Cut and paste the Descriptive  Statistics, Correlations, and Nonparametric Correlations tables directly into your document and refer to  them in your interpretation.    A6.3: Chapter 9, Problem 9.3, Correlation Matrix for Several Variables. Write a short narrative of your  process, an interpretation of your findings, and write your results to include tables. Cut and paste the  Descriptive Statistics and Correlations tables directly into your document and refer to them in your  interpretation.    A6.4: Chapter 9, Problem 9.4, Bivariate or Simple Linear Regression. Write a short narrative of your  process, an interpretation of your findings, and write your results. Cut and paste the Model Summary,  Variables Entered/Removed, ANOVA, and Coefficients tables directly into your document and refer to  them in your interpretation.    A6.5: Chapter 9, Problem 9.5, Multiple Regression. Write a short narrative of your process, an  interpretation of your findings, and write your results to include tables. Cut and paste the Descriptive  Statistics, Correlations, Variables Entered/Removed, Model Summary, ANOVA, and Coefficients tables  directly into your document and refer to them in your interpretation.    A6.6, Application Problem ‐ Correlation and Regression. Using the “college student data.sav” file, do the  following problems. Write a short narrative of your process, an interpretation of your findings, and write  your results to include tables. Cut and paste your outputs directly into your document and refer to them  in your interpretation.    a. Write a research question and a null hypothesis exploring the relationship between student’s height  and parent’s height. Conduct a correlation analysis to test the relationship including a scatterplot.  Include Descriptive Statistics, Correlations, and Nonparametric Correlations tables and refer to them in  your interpretation. Prior to running the analysis, discuss how the data meets the assumptions and  conditions for the tests you are going to conduct. Support your assertion with the appropriate  descriptive statistics.    b. Write a research questions and a null hypothesis exploring the relationship between student gender,  parent’s height, and student’s height to see if student’s height can be predicted. Conduct a regression  analysis to test the relationship. Include Descriptive Statistics, Correlations, Variables Entered/Removed,  Model Summary, ANOVA, and Coefficients tables and refer to them in your interpretation. Prior to  running the analysis, discuss how the data meets the assumptions and conditions for the tests you are  going to conduct. Support your assertion with the appropriate descriptive statistics.

  Supervisors often have to make decisions on the fly. This is a fun test.  It is designed to see how well you are able to think through a problem and come up with logical solutions.  Some of the problems require abstract or lateral thinking. It also tests your ability to sift through information and not jump to conclusions. Copy each question and post your […]

everal phases of the requirements project have now been completed; however,  it will be critical to inform the customer of your requirements management practices and plan.  Additionally, the customer must verify that your team did follow the requirements management standards  implemented by Software Engineering Institute Carnegie Mellon. In a PowerPoint presentation, provide the following to illustrate the actions taken to implement  requirements management: Title slide […]

primary task 500 words   Within the Discussion Board area, write 400–600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas: A risk cube is a tool that is used to analyze a security risk issue. For example, consider […]

Purpose Community health nurses practice in a variety of settings. The purpose of this paper is to describe the community setting and analyze the role of a nurse in the assigned setting. Health promotion nursing interventions and a professional nursing organization related to this role will also be examined.  The topic for this paper is the role of a nurse in a faith community setting.  […]

  Due in Week 10 and worth 100 points The information you provided in your presentation on Threats to the Global Environment has led to productive debates at the UN General Assembly! There are now questions about prioritizing the issues at hand. Some of the countries are challenging your recommendations and questioning your reasons for not including the issues they believe are priority. From the […]

  Social workers are in the business of empowering people. They are also often faced with power structures that are entrenched and difficult to navigate. Skillful policy practitioners recognize the many kinds of power resources that exist, thus expanding their options in specific situations. As a social worker, you will learn various strategies that can create and expand personal networks that might be useful in […]

FINAL PROJECT RESOURCE LIST: JOUR 201 Video Links for 2019 Meeting Story Assignments  (See instructions below for troubleshooting access to balky links.)  Please review these videos of public community government meetings, then select one of them to use as the basis for your final project for this class. You will not be able to change your video choice after your Story 1 assignment has been […]

  we learn from the authors that, the use of mobile devices in our society today has indeed become ubiquitous.  In addition, CTIA asserted that over  326 million mobile devices were in use within The United States as of  December 2012 – an estimated growth of more than 100 percent penetration  rate with users carrying more than one device with notable continues  growth.  From this research, […]

Data Analysis & Decision Making For Managers Case 1: Quantity Discounts at Petri Chair Company The Petri Chair Company manufactures customized wood furniture and sells the furniture in large quantities to major furniture retailers. Adolph Westphalia has recently been assigned to analyze the company’s pricing policy. He has been told that quantity discounts were usually given. For example, for one type of chair, the pricing […]