When we are computing a simple linear regression line, there are certain conditions that must b met for this model to be valid. One of these conditions is the outlier condition. Which of these answers best explains how we check to make sure that this condition is met? Make sure there the histogram doesn't have a bar that is higher than the others. Make sure no points seem to be too far from the observed trend Make sure no points appear exactly on the line.

When we are computing a simple linear regression line, there are certain conditions that must b met for this model to be valid. One of these conditions is the outlier condition. Which of these answers best explains how we check to make sure that this condition is met? Make sure there the histogram doesn't have a bar that is higher than the others. Make sure no points seem to be too far from the observed trend Make sure no points appear exactly on the line.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 2SBE

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