For this page, you’ll need to have the Covid Spread Starter File open on your computer. If you haven’t already, select Save a Copy from the "File" menu to make a copy of the file that’s just for you.
This starter file defines a table just for MA data, called MA-table: MA-table = filter(covid-table, is-MA)
1 Make a scatter plot from |
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As we’ve seen, it’s easy to fit a linear model to any dataset in Pyret, so let’s start by testing how well a linear function could model this data.
2 Use lr-plot to obtain the best-possible linear model for the MA Covid dataset, and write it below:
y = S =
Note: Pyret uses e for scientific notation. For example: 2.46e3 = 2.46 × 103 = 2460
3 The optimized linear model for this dataset predicts an increase / decrease of about slope y-variable per x-variable.
The error in the model is described by an S-value of about Sunits, which is a poor, ok, good fit considering that y-variable in this dataset range from lowest y-value to highest y-value.
4 Change the definition of the linear function in the Covid Spread Starter File to match the model produced by lr-plot and "Save".
5 Do you think a linear function is a good model for this dataset? Why or why not?
★ What do you think the code that defines MA-table is actually doing?
These materials were developed partly through support of the National Science Foundation, (awards 1042210, 1535276, 1648684, 1738598, 2031479, and 1501927). 
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