Linear Regression

Overview For this week’s assignment 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. Preparation Before you begin this assignment, complete the following: Download the Week 8 Assignment Worksheet [DOCX]. Download the Week_8_Assignment_Data.csv file. Instructions Complete and submit the Week 8 Assignment worksheet. Competencies Measured By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria: Competency 1: Communicate research findings using data visualizations. Evaluate graphs to determine if the assumptions of simple linear regression have been met. Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance. Interpret the statistical significance of a simple linear regression model. Competency 3: Conduct statistical analyses to address research questions in the social sciences. Construct a scatterplot in JASP. Construct a plot of residuals versus predicted values in JASP. Construct a graph in JASP that can be used to evaluate the normality of residuals. Construct a simple linear regression model using JASP. Competency 7: Explain the results of statistical analyses in common language. Write one sentence in APA style summarizing the results of the simple linear regression model.