3700 ASSESS 4
Complete and submit the Assessment 4 worksheet.
Introduction
Note: The assessments in this course build upon each other. You are strongly encouraged to complete them in sequence.
In the fourth assessment, we will explore correlation and regression. These are often students’ favorite topics.
While you will be introduced to various correlation coefficients, we will focus primarily on Pearson’s r, which is the most commonly used correlation coefficient in psychological research. Pearson's r measures the strength and direction of the linear relationship between two interval- or ratio-level variables.
For example, imagine you're conducting a study to understand the relationship between stress levels and academic performance among college students. In one large course, you collect data on students' self-reported stress levels and their scores on the most recent quiz. Earlier in the course, we learned that the relationship between these two variables could be visually displayed on a scatterplot. This week, we’ll learn how to summarize the relationship between these two variables numerically using a correlation coefficient. If you find a significant negative correlation, it suggests that higher stress levels are associated with lower scores, providing valuable insights into how stress and academic performance are related.
After learning about correlation, you’ll delve into regression. Regression allows us to predict a dependent variable based on one or more independent variables, making it a frequently used tool in psychological research. Linear regression takes correlation a step further by not only determining if there is a relationship but also modeling it to make predictions. In essence, while correlation tells us about the strength and direction of the relationship between two variables, regression enables us to make predictions.
Overview
For this assessment, you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity. Additionally, you will demonstrate your understanding of simple linear regression.
Preparation
Before you begin this assessment, complete the following:
- Download the Assessment 4 Worksheet [DOCX].
- Download the Assessment_4a_Data.csv file.
- Download the Assessment_4b_Data.csv file.
Instructions
Complete and submit the Assessment 4 worksheet.