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Construct a scatterplot and identify the mathematical model that best fits the data. Assume that the model is to be used only for the scope of the given data and consider only linear, quadratic, logarithmic, exponential, and power models. Use a calculator or computer to obtain the regression equation of the model that best fits the data. You may need to fit several models and compare the values of R2.Average sunset times are taken for six months across the summer. Giving the months April through September values 1 through 6, find the regression equation of the best model.y = –0.357x2 + 2.17x + 17.87y = 21.24 e0.983xy = 21.20 – 0.343xy = 20.62x–0.029

Construct a scatterplot and identify the mathematical model that best fits the data-example-1

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We will have the following:

From the options given we graph each possible solution with the data, that is:

In order:

From this, we can see that the function that best fits the data is:


y=-0.357x^2+2.17x+17.87

Construct a scatterplot and identify the mathematical model that best fits the data-example-1
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User Tantrix
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