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Section 10.7 Glossary
model
In the context of regression, a model is a mathematical description of the relationship between variables -- such as a straight line -- along with a description of random variation -- such as a normal distribution.
imputation
A process for estimating and filling in missing values in a dataset.
line of best fit
A line (or curve) that best describes a relationship between variables, by some definition of "best".
linear regression
A method for finding a line of best fit.
prediction
A point on a line of best fit -- in the context of regression, it is not necessarily a claim about the future.
residual
The difference between an observed value and a value predicted by a line of best fit.
linear least squares fit
A line that minimizes the sum of squared residuals.
coefficient of determination
A statistic, denoted
\(R^2\) and often pronounced "R squared", that quantifies how well a model fits the data.
bootstrap resampling
A way of resampling by treating the sample as a population and drawing new samples with the same size as the original, with replacement.
