For this discussion, you will assess the use of various support decision tools and explain why outliers are sometimes called influential observations. Discuss what could happen to the slope of a regression of Y versus a single X when an outlier is included versus when it is not included. Will this necessarily happen when a point is an outlier? You are required to give at least two examples in your response.
Mathematics - Statistics
Vocabulary 3
Define and provide examples of: -Basic probability – Bayes theorem – Multiplication rule – Addition rule -Binomial distribution -Poisson distribution -Normal distribution -Sample distribution -Central limit theorem Use Apa Style, cites, references and avoid plagiarism.