Chapter 7 Vocabulary Part 1

1. a criterion that specifies the unique line that minimizes the variance of the residuals or, equivalently, the sum of the squared residuals.
4. the residual tells us how far off the model’s _______ is at a particular point.
7. a numerical or constant quantity placed before and multiplying the variable in an algebraic expression.
9. The regression line is also sometimes known as the ________.
10. the estimate made from a model.
11. To interpret a linear model, we need to know the _____ and their units.
13. an equation of a straight line through the data in a scatter plot.
14. the differences between data values and the corresponding values predicted by the regression model.
15. From Algebra 1, the equation of the form y=mx+b is called the __________ of an equation.

1. a variable that is not explicitly part of a model but affects the way the variables in the model appear to be related.
2. We can model a relationship between the data in a ________ with a line and give its equation.
3. a process or record of research in which detailed consideration is given to the individual.
5. a fixed value.
6. the line for which the sum of the squared residuals is smallest of all.
8. To find the residuals, subtract the predicted value from the _________.
12. an equation or formula that simplifies and represents reality.