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I’m studying for my Statistics class and don’t understand how to answer this. Can you help me study?

The assignment is about comparison of correlation methods for testing nonlinear dependence variables.

*METHODES used in my research.

1- Spearman correlation. Packages that I used for coding: library(infotheo) and library(pspearman)

2- Distance correlation. Package: library(energy)

3- Maximal information coefficient. Package: library(minerva)

4- Mutual Information. Package: library(infotheo)

5- Copula Correlation. We didn’t use any package

6- Biweight Midcorrelation. Package: library (WGCNA)

All the codes use R program and I am done working on all the codes. I will attach the graphing result

*MODELS

We tested these methods for: Linear, Cube Root, Quadratic, Wavelet, Circle and cluster

*A Basic Good Example of what I am looking for

https://m-clark.github.io/docs/CorrelationComparis…

*Some papers may help :

https://www.semanticscholar.org/paper/Ensemble-Cor…

https://arxiv.org/pdf/1512.00750.pdf

https://projecteuclid.org/euclid.aos/1201012979

http://d-scholarship.pitt.edu/8056/

*The assignment includes

ABSTRACT, INTRODUCTION, SIMULATION, linear and nonlinear and REFERENCE

writing about 10-15 pages include a small graph pictures and formulas +references Using at least 6 references from google scholar

12 point font Times New Roman

1.5 space

APA styLiterature Journal 5: nursing homework help
I need an explanation for this English question to help me study.

Instructions

Reading Journal

Step 1 Read Love Medicine

Please read pages 298 – 328, “The Tomahawk Factory” and “Lyman’s Luck.”

Step 2 Write Annotations

While reading the assigned pages, please write notes either in the book or in a reading journal. You will use these notes later in the course.

Step 3 Write your 1 page journal entry

In this last section, please pick a part that interests you and write about it in detail by answering the following questions:
Explain why it sparked your interest? How it fits into the rest of the novel? Why it is significant? And, how the writing itself influenced you? Please use at least two direct quotes from the current reading assignment to support your ideas.
Step 4 Save and submit your assignment.Estimating Models Using Dummy Variables
I don’t know how to handle this Statistics question and need guidance.

Create a research question using the General Social Survey dataset that can be answered by multiple regression. Using the SPSS software, choose a categorical variable to dummy code as one of your predictor variables.

Estimate a multiple regression model that answers your research question. Post your response to the following:
What is your research question? Interpret the coefficients for the model, specifically commenting on the dummy variable. Run diagnostics for the regression model. Does the model meet all of the assumptions? Be sure and comment on what assumptions were not met and the possible implications. Is there any possible remedy for one the assumption violations?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Required Readings
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 2, “Transforming Variables” (pp. 14–32) Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, 8, and 9)

Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.

Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 6, “What are the Assumptions of Multiple Regression?” (pp. 119–136)

Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press/Sage Publications.

Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 7, “What can be done about Multicollinearity?” (pp. 137–152)

Multiple Regression: A Primer, by Allison, P. D. Copyright 1998 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.

Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications.

Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
Chapter 12, “Dummy Predictor Variables in Multiple Regression”

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