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Two Variable Data

extrapolating making predictions
LSRL (Least Squares Regression Line) a unique line that has the smallest possible value for the sum of the squares of the residuals
Residual actual value - predicted value
Positive Residual means that the actual value is greater than the predicted value
Negative Residual the actual value is less than the predicted value
residual plot helps determine if a linear model is a good fit for a scatterplot of data
correlation coefficient r - is a measure of how much or how little data is scattered around the LSRL
lurking variable variable not included in study
quadratic model u shape
R^2 Sentence R^2 percent of the variablity in the dependent variable can be explained by a linear model with the independent variable
exponential model uses exponents
Created by: mancity04