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Stats Ch 7

TermDefinition
Model An equation or formula that simplifies and represents reality
Linear Model An equation of a line that is found to interpret data
Predicted Value The y-hat found from a model
Residuals The difference between the observed value and predicted value
Least Squares The unique line that minimizes the variance of the residuals
Regression line y hat = a + bx
Slope y-units per x-unit
Intercept The y-hat value when x = 0
Regression to the mean Each predicted y value tends to be fewer standard deviations away from the mean than it's corresponding x
Extrapolation Predicting using values outside observed values.
Lurking Variable A factor other than x or y that simultaneously affects both x & y, accounting for the correlation between the two
Created by: HowardGeometry