Two Variable Data Word Scramble
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Term | Definition |
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
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