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2 cards from this section. Quick, good the night before a test.
Define curve fitting.
Think about what it means to match a line or curve to collected data.
What is the least squares method used for?
Consider how we ensure the curve fits the data well.
What does the least squares method minimize?
Consider whether you want to minimize absolute differences or squared ones.
True or False: Fitting a parabola only applies to data with a linear trend.
Think about what a parabola represents in graphical form.
Given a data set of points (1, 2), (2, 3), (3, 5), derive the coefficients for the best-fit line using the least squares method.
Use the least squares formula for slope and intercept.
A data set follows a quadratic pattern. How would you establish this? Apply the least squares to fit it and explain your method.
Set up the normal equations derived from the least squares criterion for quadratic functions.
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