Why the following assumptions must be met in order for us to use linear regression? The errors ε1,…,εn are random and independent. In particular, the magnitude of any error ei does not influence the value of the next error εi + 1. The errors ε1,…,εn all have a mean of 0. The errors ε1,…,εn all have the same variance, which we denote by σ2. The errors ε1,…,εn are normally distributed
Why the following assumptions must be met in order for us to use linear regression? The errors ε1,…,εn are random and independent. In particular, the magnitude of any error ei does not influence the value of the next error εi + 1. The errors ε1,…,εn all have a mean of 0. The errors ε1,…,εn all have the same variance, which we denote by σ2. The errors ε1,…,εn are normally distributed
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4PPS
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Why the following assumptions must be met in order for us to use linear regression?
The errors ε1,…,εn are random and independent. In particular, the magnitude of any error ei does not influence the value of the next error εi + 1.
The errors ε1,…,εn all have a mean of 0.
The errors ε1,…,εn all have the same variance, which we denote by σ2.
The errors ε1,…,εn are
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