# Throughout this course, you will perform activities that will provide you with the background knowledge

INSTRUCTIONS TO CANDIDATES

Assessment Description

Special Note: Throughout this course, you will perform activities that will provide you with the background knowledge and practice necessary to successfully complete linear regression and multivariate analysis. Please utilize the resources found in Class Resources and the topic Resources to assist you with each exercise. It is important to demonstrate statistical knowledge and practice R programming concepts using datasets from external sources. For this activity, perform the following: Research the concept of linear regression. Explain the difference between simple and multivariate linear regression. Formulate a question that can be answered with simple linear regression. Select a dataset from "UCI Machine Learning Repository," located in the topic Resources. Note: Make sure to select a dataset where the Default Task is labeled 'Regression.' If you are not sure, consult with your instructor. Identify the independent and dependent variables in the data. For each variable inspect the dataset, decide: a) whether outliers are present and if yes, make and justify a recommendation on how to handle them; and b)

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