RES 726 Week 4 Exercise for Power Transformations Analysis

RES 726 Week 4 Exercise for Power Transformations Analysis

RES 726 Week 4 Exercise for Power Transformations Analysis

Resource: Three textbooks listed in the Syllabus and the RES726v2 Resource page plus scholarly journal articles selected from UOP databases for paper.

Create a graph similar to Figure 4.1 on p. 51 of the Fox text, but for the ordinary power transformations X -> Xp for p= -1,0,1,2, 3.

Compare your graph to the figure and comment on the similarities and differences between the two families of transformations, Xp and X(p), on p. 71 in the Fox text.

Write three to four paragraphs to briefly describe relevant concepts for using power transformations using questions as a guide.

Submit your answers to the exercise and paragraphs in a Microsoft® Word document. Add a title page and follow the guidelines for an APA scholarly paper

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Resource: Three textbooks listed in the Syllabus and the RES726v2 Resource page plus scholarly journal articles selected from UOP databases for paper.


Complete exercise 1 on p. 94 of the Keppel & Zedeck text.


Write three to four paragraphs to briefly describe assumptions and results of the exercise, and summarize the relationship between correlation and regression and your thoughts of what was learned during this process.


Submit your answers to the exercise and paragraphs in a Microsoft® Word document. Add a title page and follow the guidelines for an APA scholarly paper.


Include references to support your work following the APA (6th ed.) formats. Insert reference list at the end of the document.


Format your paper consistent with APA guidelines for the title page and the scholarly paper.

Resource: Three textbooks listed in the Syllabus and the RES726v2 Resource page plus scholarly journal articles selected from UOP databases for paper.

Complete the stepwise regression analysis using the given data in the worksheet. In this regression, an interest exists in assessing sales, or y, by evaluating four different predictors:

x1: Production
x2: Employee performance
x3: Marketing
x4: Customer satisfaction

Include a summary after your analysis that describes the steps taken to analyze the data. Use a scholarly paper format for the narrative.