1. Two techniques for fitting models to data are direct and inverse ________ and least squares ________.
2. Statisticians use a measure called the ________ of the ________ ________ to find a model that approximates a set of data most accurately.
3. The linear model with the least sum of the squared differences is called the ________ ________ ________ line.
4. An r-value, or ________ ________, of a set of data gives a measure of how well a model fits the data.
5. The direct variation model y = kxn can be described as "y varies directly as the nth power of x," or "y is ________ ________ to the nth power of x."
6. The mathematical model y = 2/3 is an example of ________ variation.
7. Mathematical models that involve both direct and inverse variation have ________ variation.
8. The joint variation model z = kxy can be described as "z varies jointly as x and y," or "z is ________ ________ to x and y."