Answered: Assumption 1: Linear Parameter and…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 23EQ

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Assumption 1: Linear Parameter and correct model specification

Assumption 2: Full Rank of Matrix X

Assumption 3: Explanatory Variables must be exogenous

Assumption 4: Independent and Identically Distributed Error Terms

Assumption 5: Normal Distributed Error Terms in Population

Question: Identify one method of solving the problem if the assumption is violated, for each assumption. nothing in depth required.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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