RES 726 WEEK 2 Correlation and Regression Assignment

As a doctoral learner focused on quantitative research, the ability to assess the essential general assumptions underlying statistical models and to differentiate the regression analysis concepts and techniques is important for scholarly research and data analysis. Interpreting types of variables, design frameworks, and treatments in statistical regression analysis is also an essential skill for upcoming research projects.

Order RES 726 WEEK 2 Correlation and Regression Assignment

Write a 1,500- to 1,750-word paper with an overview of the following concepts and elements:

Start with an introduction for the scholarly paper.
Identify and explain several essential assumptions that underscore a statistical model, how each of the assumptions can be assessed, and then provide an analysis of how the key assumptions can affect the validity or outcomes of the research data.
Assess the most essential components or concepts of regression analysis and explain the rationale for including the concepts. Follow with a discussion of the strengths of using regression analysis and some important reasons why regression is used over some other designs. Also include some weaknesses or limitations with the regression approach. Practical examples can be included to demonstrate the application of the concepts or components.
Synthesize the narrative to include a brief synopsis of the distinctive differences in the correlation/simple regression and multiple regression approaches especially in analyzing and interpreting types of variables, level of measurements, and the basic criteria that are needed for the use of the correlation or regression approach. Also, identify some types of statistical tests that are appropriate for each approach.
End with a conclusion for the paper and provide accurate reference citations to support the content in the text as well as the design frameworks or models and methodologies in the text narrative and also the reference list at the end of the paper.

Format your paper according to APA guidelines. Include accurate reference citations to support the text narrative and reference list.

Submit your assignment to the Assignment Files tab.

V111317

RES 726 WEEK 2 Correlation and Regression

Write a 1,500- to 1,750-word paper with an overview of the following concepts and elements:

Start with an introduction for the scholarly paper.
Identify and explain several essential assumptions that underscore a statistical model, how each of the assumptions can be assessed, and then provide an analysis of how the key assumptions can affect the validity or outcomes of the research data.
Assess the most essential components or concepts of regression analysis and explain the rationale for including the concepts. Follow with a discussion of the strengths of using regression analysis and some important reasons why regression is used over some other designs. Also include some weaknesses or limitations with the regression approach. Practical examples can be included to demonstrate the application of the concepts or components.
Synthesize the narrative to include a brief synopsis of the distinctive differences in the correlation/simple regression and multiple regression approaches especially in analyzing and interpreting types of variables, level of measurements, and the basic criteria that are needed for the use of the correlation or regression approach. Also, identify some types of statistical tests that are appropriate for each approach.
End with a conclusion for the paper and provide accurate reference citations to support the content in the text as well as the design frameworks or models and methodologies in the text narrative and also the reference list at the end of the paper.
Format your paper according to APA guidelines. Include accurate reference citations to support the text narrative and reference list.

Submit your assignment to the Assignment Files tab.

V111317

RES 726 WEEK 2 Correlation and Regression