Two Variable Data
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| extrapolating | making predictions
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| LSRL (Least Squares Regression Line) | a unique line that has the smallest possible value for the sum of the squares of the residuals
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| Residual | actual value - predicted value
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| Positive Residual | means that the actual value is greater than the predicted value
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| Negative Residual | the actual value is less than the predicted value
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| residual plot | helps determine if a linear model is a good fit for a scatterplot of data
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| correlation coefficient | r - is a measure of how much or how little data is scattered around the LSRL
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| lurking variable | variable not included in study
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| quadratic model | u shape
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| R^2 Sentence | R^2 percent of the variablity in the dependent variable can be explained by a linear model with the independent variable
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| exponential model | uses exponents
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Created by:
mancity04
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