Chapter 10 Flashcards

(7 cards)

1
Q

Bias

A

a statistical problem that occurs when the expected value of the parameter estimate that we obtain from a sample will not equal to the true population parameter

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2
Q

Dyatic Data

A

data that reflect the characteristics of pairs of spatial units and/or the relationships between them

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3
Q

omitted variable bias

A

the specific type of bias that results from the failure to include a variable that belongs in our regression model

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4
Q

perfect multicollinearity

A

when there is an exact relationship between any two or more of a regression’s independent variables

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5
Q

standardized coefficients

A

regression coefficients such as the rise over run interpretation is expressed in standard deviation units of each variable

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6
Q

substantive significance

A

a judgement call on whether or not a statistically significant relationship is “large” or “small” in terms of their real world impact

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7
Q

unstandardized coefficients

A

regression coefficients such that the rise-over-run is expressed in the original metric of each variable

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