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26.9: N1.09- Section 5

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    51768
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    Section 5: Recognition of appropriate models

    Many other model formulas exist (including many possible combinations of models, as will be discussed in a later topic), but the set of basic models that have been discussed in this course cover the most important patterns that arise in application settings. This will be useful to you even if you do not do more model-fitting yourself, since it gives you ways to talk about patterns you encounter and to know what is being referred to in written material.

    Example 6: For each of these graphs, which of the basic models discussed in this course best matches it: linear, quadratic, exponential, power-function, normal, logistic, sinusoidal, or logarithmic?

    [a]

    133.png

    [b]

    222.png

    [c]

    315.png

    [d]

    410.png

    [e]

    56.png

    [f]

    64.png

    [g]

    73.png

    [h]

    84.png

    Try to identify the type of model in each case before looking at the answers.

    [reveal-answer q=”721610″]Answers to Example 6:[/reveal-answer]
    [hidden-answer a=”721610″]

    [a] exponential. [b] logistic [c] quadratic [d] sinusoidal [e] normal [f] linear [g] power [h] logarithmic

    [/hidden-answer]

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    • Mathematics for Modeling. Authored by: Mary Parker and Hunter Ellinger. License: CC BY: Attribution

    26.9: N1.09- Section 5 is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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