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Aula 2 - Data Characterization
Aula 4 - Linearity on the parameters
Aula 5 - Linear Regression Model with two variables
Aula 6 - Least Square Ordinary Model
Aula 7 - Minimization by matrix
Aula 8 - Classic Model of Linear Regression and your hypothesis
Aula 9 - Precision Measures of LR Estimators
Aula 11 - Normality of residues in the Classical Model of Linear Regression
Aula 12 - Violation of the Classical Model of Linear Regression - Multicollinearity
Aula 13 - Heteroscedastic Problem
Aula 14 - Autocorrelation Problem
Aula 15 - Variables dummies models
Aula 16 - Panel Data Models
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Bairro Jardim São Paulo
Teófilo Otoni, Minas Gerais, Brazil
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