Modeling with Proportionality and Geometric Similarity ∗ Math 232 , Spring 2012
نویسنده
چکیده
1. Enter data observed for the dependent and independent variables. 2. Plot the raw data points to check for trends and to identify potential data outliers. 3. Perform the transformations that support a hypothesized proportionality. → If, for example, you suspect y ∝ x, you would look at the set of points (xi , yi) to see if they form a line. 4. Plot the transformed data to test the hypothesized proportionality. 5. Estimate the constant of proportionality. • Estimate the slope directly by choosing two data points. • Find the slope using least squares. ∗Some of the material in this handout is taken directly from A First Course in Mathematical Modeling by Frank Giordano, et al.
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