Correlation and Regression Project Paper

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Project 4 involves the development of a general-purpose statistical analysis program for performing simple Correlation and regression analysis of data. However, a knowledge of statistics is not a prerequisite for successfully completing both parts of this project! Correlation and Regression Project Paper

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The overall goals of this project are to give you experience designing and implementing a significant-sized and broadly useful program that you may have the opportunity to reuse in your future classes and to introduce you to some of the advanced analytic tools that are available for Python.

This project will be completed in two parts: Correlation and Regression Project Paper

The first part will be an analysis and design phase where you will develop and document a design for the program. This will involve decomposing the program into simple, manageable tasks and placing these tasks in the correct sequences necessary to meet the operational requirements described in a later section of this document. You will also implement a small set of functions to help you prepare for the second part of the project.

The second part will require you to implement the program using a provided design. Requirements and deliverables for Part 2 of the project will be described in a separate document. Correlation and Regression Project Paper

Use the attached document “Correlation and Regression” to complete the assignment.

While APA format is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This Topic 5– Benchmark – Correlation and Regression Project assignment assesses the following programmatic competencies 3.1 Interpret psychological phenomena using scientific reasoning.Topic 5– Benchmark – Correlation and Regression Project. Correlation and Regression Project Paper

Topic 5– Benchmark – Correlation and Regression Project

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PSY-520 Graduate Statistics Topic 5– Benchmark – Correlation and Regression Project

Directions

Use the following information to complete the questions below. While APA format is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. Correlation and Regression Project Paper

1. Select at least three variables that you believe have a linear relationship.

a. Specify which variable is dependent and which are independent.

2. Collect the data for these variables and describe your data collection technique and why it was appropriate as well as why the sample size was best.

a. Submit the data collected by submitting the SPSS data file with your submission.

3. Find the Correlation coefficient for each of the possible pairings of dependent and independent variables and describe the relationship in terms of strength and direction.

4. Find a linear model of the relationship between the three (or more) variables of interest.

5. Explain the validity of the model. Correlation and Regression Project Paper

PSY 520 Week 6 Exercise Latest-GCU

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Complete the following exercises located at the end of each chapter and put them into a Word document to be submitted as directed by the instructor.

Show all relevant work; use the equation editor in Microsoft Word when necessary. Correlation and Regression Project Paper

In this section we will first discuss correlation analysis, which is used to quantify the association between two continuous variables (e.g., between an independent and a dependent variable or between two independent variables). Regression analysis is a related technique to assess the relationship between an outcome variable and one or more risk factors or confounding variables. The outcome variable is also called the response or dependent variable and the risk factors and confounders are called the predictors, or explanatory or independent variables. In regression analysis, the dependent variable is denoted “y” and the independent variables are denoted by “x”. Correlation and Regression Project Paper

[NOTE: The term “predictor” can be misleading if it is interpreted as the ability to predict even beyond the limits of the data. Also, the term “explanatory variable” might give an impression of a causal effect in a situation in which inferences should be limited to identifying associations. The terms “independent” and “dependent” variable are less subject to these interpretations as they do not strongly imply cause and effect. Correlation and Regression Project Paper

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Correlation Analysis

In correlation analysis, we estimate a sample correlation coefficient, more specifically the Pearson Product Moment correlation coefficient. The sample correlation coefficient, denoted r, Correlation and Regression Project Paper

ranges between -1 and +1 and quantifies the direction and strength of the linear association between the two variables. The correlation between two variables can be positive (i.e., higher levels of one variable are associated with higher levels of the other) or negative (i.e., higher levels of one variable are associated with lower levels of the other).

The sign of the correlation coefficient indicates the direction of the association. The magnitude of the correlation coefficient indicates the strength of the association. Correlation and Regression Project Paper

For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r = -0.2 suggest a weak, negative association. A correlation close to zero suggests no linear association between two continuous variables.

1. Chapter 16, numbers 16.9, 16.10, 16.12 and 16.14

2. Chapter 17, numbers 17.6, 17.7, and 17.8

3. Chapter 18, numbers 18.8, 18.11, and 18.12 Correlation and Regression Project Paper