# Statistics Correlation and Simple Regression Tables Template Hypothesis Testing: Correlation and Simple Regression Assignment Overview In this assignment,

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Statistics Correlation and Simple Regression Tables Template Hypothesis Testing: Correlation and Simple
Regression
Assignment Overview

In this assignment, you are given data to determine the relationship between
pairs of variables.

Based on the descriptive data, you will choose the appropriate correlation
analysis and interpret the strength and direction of the correlation and its
statistical significance. Note: For some of the correlation pairs, it is appropriate to
examine the ability to predict one variable from the other.

To successfully complete this assignment, you must address the following:

● Describe the types of relationships that can occur between two variables.
● Determine which correlation analysis is appropriate, based on the type of

data collected.
● Describe the information that can be gleaned from a correlation analysis.
● Describe the role of linear regression analysis.
● Interpret a simple linear regression output.

Preparation for the Assignment

assignment:

● Correlation and Simple Regression Tables Template (includes Data
Description).

● Unit 8 SPSS Output [PDF].

Instructions for the Assignment

Step 1: Data Validation

As with all new data sets, your first step is to do the data validation.

● Review the Unit 8 SPSS Output [PDF] and note any issues with the data.

Step 2: Correlation

Establish the relationships of the variables using the following correlation
procedures. Based on your data validation, choose the appropriate correlation
coefficient and interpret the strength, direction, and significance of the correlation
for six variable pairs of your choice.

● Review both the Pearson correlations (parametric) and the Spearman
rank-order correlations.

Step 3: Simple Regression

● Interpret the appropriate simple regression results for your variables.

● Create a document that is clearly written and generally free of grammatical
errors.

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