Session 5 Flashcards

1
Q

homoskedasticity

A

var(u|X = x) = constant

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2
Q

heteroskedasticity

A

var(u|X = x) = function(x)

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3
Q

Linear vs. non-linear regression

Linear regression means that the ____ variable can/cannot be expressed as a linear combination of the regression coefficients and independent variables

Non-linear regression means that the ______ variable can/cannot be expressed as a linear combination of the regression coefficients and independent variables

A

Linear regression means that the dependent variable can be expressed as a linear combination of the regression coefficients and independent variables

Non-linear regression means that the dependent variable can not be expressed as a linear combination of the regression coefficients and independent variables

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4
Q

interaction vs. non-linear relationship

Interaction: Predicted change in Y associated with a change in ____ depends on the value of ___

Non-linear relationship:Predicted change in Y associated with a change in __ depends on the value of ____

A

Interaction: Predicted change in Y associated with a change in X1 depends on the value of a different input variable, X2

Non-linear relationship:Predicted change in Y associated with a change in X1 depends on the value of X1

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