What is the definition of β0, β1, β2, and uY in linear regression analysis?

β0 is the value of Y when all Xi variables are zero, and it represents...

Question

What is the definition of β0, β1, β2, and uY in linear regression analysis?

β0 is the value of Y when all Xi variables are zero, and it represents the intercept of the regression line with the Y-axis.
β1 and β2 are the coefficients of the X1 and X2 variables, respectively, and they are multiplied by the specific values of the variables to determine the estimated value of Y.
uY is the error term, which represents the difference between the estimated value of Y and the actual value of Yi in the dataset.

Ed · Answer

Na análise de regressão linear, β0, β1, β2 e uY têm as seguintes definições:

- β0 é o valor de Y quando todas as variáveis Xi são iguais a zero e representa a interseção da linha de regressão com o eixo Y.
- β1 e β2 são os coeficientes das variáveis X1 e X2, respectivamente, e são multiplicados pelos valores específicos das variáveis para determinar o valor estimado de Y.
- uY é o termo de erro, que representa a diferença entre o valor estimado de Y e o valor real de Yi no conjunto de dados.

What is the definition of β0, β1, β2, and uY in linear regression analysis? β0 is the value of Y when all Xi variables are zero, and it represents...

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